Important Crop Research Articles

Review on Nutritional Potential of Underutilized Millets as a Miracle Grain.

The current situation, which includes changes in eating habits, an increasing population, and the unrestricted use of natural resources, has resulted in a lack of resources that could be used to provide nourishing food to everyone. Natural plant resources are quickly being depleted, so it is necessary to consider new alternatives. In addition to the staple grains of rice and wheat, many other crops are being consumed that need to be utilized to their full potential and have the potential to replace the staple crops. Millets are one of the most important underutilized crops that have the potential to be used as a nutricereal. Millets have a high nutritional value, do not produce acids, do not contain gluten, and can contribute to a healthy diet. Due to a lack of awareness regarding the nutritional value of millets, their consumption is still restricted to the population that adheres to conventional diets and is economically disadvantaged even though millets contain a significant amount of nutrients. Millets are becoming increasingly unpopular due to a lack of processing technologies, food subsidies, and the inconvenience of preparing food with millets. Millets are a Nutricereal rich in carbohydrates, dietary fibers, energy, essential fatty acids, proteins, vitamin B, and minerals such as calcium, iron, magnesium, potassium, and zinc. These nutrients help to protect against post-translational diseases such as diabetes, cancer, cardiovascular disease, and celiac disease, among others. Millets are beneficial for controlling blood pressure, blood sugar level, and thyroid function; however, despite these functional properties, millets consumption has declined. Utilizing millets and other staple food crops to develop alternative food sources has become a new area of focus for businesses in the food industry. In addition, millet consumption can help foster immunity and health, which is essential in strengthening our fight against malnutrition in children and adolescents. In this article, the authors examine the potential of millets in terms of their nutricereal qualities.

First Report of Melon Severe Mosaic Orthotospovirus infecting cucurbits in the United States.

Cucurbits (family Cucurbitaceae) includes globally important fruit and vegetable crops. Virus diseases pose a serious threat to cucurbits, limiting crop quality and yield (Regina et al. 2021). In fall 2023, leaf and fruit samples from two squash plants with chlorotic mosaic symptoms and fruit distortion from Monroe and Pope counties in Arkansas were received for diagnosis at the University of Arkansas Division of Agriculture Plant Clinic. Based on symptoms, samples were assessed for melon severe mosaic orthotospovirus (MeSMV) using the ImmunoStrip® developed for detection of the virus (Agdia® Inc., Elkhart, Indiana). The presence of MeSMV was also confirmed by RT-PCR using the Agdia Tospovirus group PCR primers. An amplicon was sequenced and showed 91% sequence identity to the MESMV type isolate (NC_033834, VE440-A). To further verify the results, nucleic acids from a squash sample from Pope County were extracted as described by Poudel et al. (2013), DNase treated, and sequenced on an Oxford Nanopore MinION as described by Liefting et al. (2021). A total of 25,914 raw reads were analyzed using VirFind (Ho and Tzanetakis 2014), which identified 112 reads mapping to the three segments of MeSMV. Primers for all three RNAs were developed and amplified 638, 650, and 1153 nt of the S, M, and L segments of the virus respectively. The amplicons were sequenced bidirectionally and show 89-93% identity to the type isolate from Mexico (GenBank accessions PP301332-4). MeSMV has only been identified in Mexico and can cause significant losses to honeydew melon, zucchini, and cucumber (Ciuffo et al. 2009). Thus, this is the first report of MeSMV outside Mexico. Given the severity of the symptoms observed in cucurbit crops, the virus poses a potential threat to the cucurbit industry in the United States. Growers should be aware of this virus and take the necessary precautions to prevent its spread in the field.

CmERF1 acts as a positive regulator of fruits and leaves growth in melon (Cucumis melo L.).

Melon (Cucumis melo L.) is an important horticultural and economic crop. ETHYLENE RESPONSE FACTOR1 (ERF1) plays an important role in regulating plant development, and the resistance to multiple biotic and abiotic stresses. In this study, developmental biology, molecular biology and biochemical assays were performed to explore the biological function of CmERF1 in melon. Abundant transcripts of CmERF1 were found in ovary at green-yellow bud (GYB) and rapid enlargement (ORE) stages. In CmERF1 promoter, the cis-regulatory elements for indoleacetic acid (IAA), methyl jasmonate (MeJA), salicylic acid (SA), abscisic acid (ABA), gibberellic acid (GA), light and low temperature responses were found. CmERF1 could be significantly induced by ethylene, IAA, MeJA, SA, ABA, and respond to continuous light and low temperature stresses in melon. Ectopic expression of CmERF1 increased the length of siliqua and carpopodium, and expanded the size of leaves in Arabidopsis. Knockdown of CmERF1 led to smaller ovary at anthesis, mature fruit and leaves in melon. In CmERF1-RNAi #2 plants, 75 genes were differently expressed compared with control, and the promoter regions of 28 differential expression genes (DEGs) contained the GCC-box (AGCCGCC) or DRE (A/GCCGAC) cis-acting elements of CmERF1. A homolog of cell division cycle protein 48 (CmCDC48) was proved to be the direct target of CmERF1 by the yeast one-hybrid assay and dual-luciferase (LUC) reporter (DLR) system. These results indicated that CmERF1 was able to promote the growth of fruits and leaves, and involved in multiple hormones and environmental signaling pathways in melon.

Comparative genomic analysis of Bradyrhizobium strains with natural variability in the efficiency of nitrogen fixation, competitiveness, and adaptation to stressful edaphoclimatic conditions.

Bradyrhizobium is known for fixing atmospheric nitrogen in symbiosis with agronomically important crops. This study focused on two groups of strains, each containing eight natural variants of the parental strains, Bradyrhizobium japonicum SEMIA 586 (=CNPSo 17) or Bradyrhizobium diazoefficiens SEMIA 566 (=CNPSo 10). CNPSo 17 and CNPSo 10 were used as commercial inoculants for soybean crops in Brazil at the beginning of the crop expansion in the southern region in the 1960s-1970s. Variants derived from these parental strains were obtained in the late 1980s through a strain selection program aimed at identifying elite strains adapted to a new cropping frontier in the central-western Cerrado region, with a higher capacity of biological nitrogen fixation (BNF) and competitiveness. Here, we aimed to detect genetic variations possibly related to BNF, competitiveness for nodule occupancy, and adaptation to the stressful conditions of the Brazilian Cerrado soils. High-quality genome assemblies were produced for all strains. The core genome phylogeny revealed that strains of each group are closely related, as confirmed by high average nucleotide identity values. However, variants accumulated divergences resulting from horizontal gene transfer, genomic rearrangements, and nucleotide polymorphisms. The B. japonicum group presented a larger pangenome and a higher number of nucleotide polymorphisms than the B. diazoefficiens group, possibly due to its longer adaptation time to the Cerrado soil. Interestingly, five strains of the B. japonicum group carry two plasmids. The genetic variability found in both groups is discussed considering the observed differences in their BNF capacity, competitiveness for nodule occupancy, and environmental adaptation.IMPORTANCEToday, Brazil is a global leader in the study and use of biological nitrogen fixation with soybean crops. As Brazilian soils are naturally void of soybean-compatible bradyrhizobia, strain selection programs were established, starting with foreign isolates. Selection searched for adaptation to the local edaphoclimatic conditions, higher efficiency of nitrogen fixation, and strong competitiveness for nodule occupancy. We analyzed the genomes of two parental strains of Bradyrhizobium japonicum and Bradyrhizobium diazoefficiens and eight variant strains derived from each parental strain. We detected two plasmids in five strains and several genetic differences that might be related to adaptation to the stressful conditions of the soils of the Brazilian Cerrado biome. We also detected genetic variations in specific regions that may impact symbiotic nitrogen fixation. Our analysis contributes to new insights into the evolution of Bradyrhizobium, and some of the identified differences may be applied as genetic markers to assist strain selection programs.

A serine carboxypeptidase-like acyltransferase catalyzes consecutive four-step reactions of hydrolyzable tannin biosynthesis in Camellia oleifera.

Hydrolyzable tannins (HTs), a class of polyphenolic compounds found in dicotyledonous plants, are widely used in food and pharmaceutical industries because of their beneficial effects on human health. Although the biosynthesis of simple HTs has been verified at the enzymatic level, relevant genes have not yet been identified. Here, based on the parent ion-fragment ion pairs in the feature fragment data obtained using UPLC-Q-TOF-/MS/MS, galloyl phenolic compounds in the leaves of Camellia sinensis and C. oleifera were analyzed qualitatively and quantitatively. Correlation analysis between the transcript abundance of serine carboxypeptidase-like acyltransferases (SCPL-ATs) and the peak area of galloyl products in Camellia species showed that SCPL3 expression was highly correlated with HT biosynthesis. Enzymatic verification of the recombinant protein showed that CoSCPL3 from C. oleifera catalyzed the four consecutive steps involved in the conversion of digalloylglucose to pentagalloylglucose. We also identified the residues affecting the enzymatic activity of CoSCPL3 and determined that SCPL-AT catalyzes the synthesis of galloyl glycosides. The findings of this study provide a target gene for germplasm innovation of important cash crops that are rich in HTs, such as C. oleifera, strawberry, and walnut.

Exploring cotton SFR2’s conundrum in response to cold stress

ABSTRACT Cotton is an important agricultural crop to many regions across the globe but is sensitive to low-temperature exposure. The activity of the enzyme SENSITIVE TO FREEZING 2 (SFR2) improves cold tolerance of plants and produces trigalactosylsyldiacylglycerol (TGDG), but its role in cold sensitive plants, such as cotton remains unknown. Recently, it was reported that cotton SFR2 produced very little TGDG under normal and cold conditions. Here, we investigate cotton SFR2 activation and TGDG production. Using multiple approaches in the native system and transformation into Arabidopsis thaliana, as well as heterologous yeast expression, we provide evidence that cotton SFR2 activates differently than previously found among other plant species. We conclude with the hypothesis that SFR2 in cotton is not activated in a similar manner regarding acidification or freezing like Arabidopsis and that other regions of SFR2 protein are critical for activation of the enzyme than previously reported.

Identification of SSR markers linked to the abscission of cotton boll traits and mining germplasm in Cotton

BackgroundCotton is an economically important crop. It is crucial to find an effective method to improve cotton yield, and one approach is to decrease the abscission of cotton bolls and buds. However, the lack of knowledge of the genetic and molecular mechanisms underlying cotton boll abscission traits has hindered genetic improvements.ResultsPearson’s correlation analysis revealed a significant positive correlation between boll abscission rates 1 (AR1) and boll abscission rates 2 (AR2). A genome-wide association study was conducted on 145 loci that exhibited high polymorphism and were uniformly distributed across 26 chromosomes (pair). The study revealed 18, 46, and 62 markers that were significantly associated with boll abscission, fiber quality, and yield traits (P < 0.05), explaining 1.75%–7.13%, 1.16%–9.58%, and 1.40%–5.44% of the phenotypic variation, respectively. Notably, the marker MON_SHIN-1584b was associated with the cotton boll abscission trait, whereas MON_CGR5732a was associated with cotton boll abscission and fiber quality traits. Thirteen of the marker loci identified in this study had been previously reported. Based on phenotypic effects, six typical cultivars with elite alleles related to cotton boll abscission, fiber quality, and yield traits were identified. These cultivars hold great promise for widespread utilization in breeding programs.ConclusionsThese results lay the foundation for understanding the molecular regulatory mechanism of cotton boll abscission and provide data for the future improvement of cotton breeding.

Profiling the expression of expansin genes in barley roots under salinity stress at the germination stage

ABSTRACT Salinity is a major abiotic stress that inhibits seed germination, plant growth, and consequently the productivity of many important crops such as barley. Expansins are a major group of cell wall-loosening proteins, which play important roles in plant growth and development, and in response to different environmental stresses. In this study, salinity tolerance and changes in the expression of expansin genes in barley were tested. The germination percentage of Yarmouk was 72.3% of the control after 48 hours of salt stress, and that of Rum was 27.4%. Reserve mobilization was 61.6% and 43.6% of the control in Yarmouk and Rum, respectively. The decrease in the total soluble sugars was 0.3, and 0.54 mg. ml−1. g−1 FW in Yarmouk and Rum, respectively. Yarmouk has a higher number of induced expansin genes under salt stress compared to Rum. This indicates a significant role for expansins in the improvement of salinity tolerance of barley.

Whole Genome Sequencing Analysis of Soybean Diversity Across Different Countries and Selection Signature of Korean Soybean Accession.

Soybean is an important agricultural crop known for its high protein and oil content, contributing to essential nutritional and health benefits for humans. Domesticated in China over 5000 years ago, soybean has since adapted to diverse environments and spread worldwide. This study aimed to investigate the genomic characteristics and population structures of 2,317 publicly available soybean whole-genome sequences from diverse geographical regions, including China, Korea, Japan, Europe, North America and South America. We used large-scale whole-genome sequencing data to perform high-resolution analyses to reveal the genetic characteristics of soybean accessions. Soybean accessions from China and Korea exhibited landrace characteristics, indicating higher genetic diversity and adaptation to local environments. On the other hand, soybean accessions from Japan, the European Union, and South America were found to have low genetic diversity due to artificial selection and breeding for agronomic traits. We also identified key variants and genes associated with the ability to adapt to different environments. In Korean soybean accessions, we observed strong selection signals for isoflavone synthesis, an adaptive trait critical for improving soybean adaptability, survival, and reproductive success by mitigating environmental stress. Identifying specific genomic regions showing unique patterns of selective sweeps for genes such as HIDH, CYP73A11, IFS1, and CYP81E11 associated with isoflavone synthesis provided valuable insights into potential adaptation mechanisms. Our research has significantly improved our understanding of soybean diversity at the genetic level. We have identified key genetic variants and genes influencing adaptability, laying the foundation for future advances in genomics-based breeding programs and crop improvement efforts.

Variety classification and identification of jujube based on near-infrared spectroscopy and 1D-CNN

Jujube is an important economic crop in Xinjiang, China, and its related industry provides abundant employment opportunities and contributes positively to local economic development. Due to the high economic value and similar appearance of jujubes from different regions, there is a phenomenon of counterfeit products in the market. Therefore, it is necessary to trace the origin of jujubes to address these issues. In this study, we conducted traceability research on jujubes from four locations: Alaer, Hotan, Ruoqiang, and Zhangye. Near-infrared spectroscopy was used to extract non-destructive data from the jujubes for analysis. The extracted data was transformed into one-dimensional data, and six algorithms, including the Back Propagation Neural Network (BP), Radial Basis Function Neural Network(RBF), Convolutional Neural Networks (CNN), Long Short-Term Memory Network(LSTM), Support Vector Machine (SVM), and Random Forest (RF), were used for classification research on the obtained 4000 sets of one-dimensional data. The results showed that when sufficient data were available, the RBF, LSTM and CNN perform relatively better best with 93.50 %, 94.33 % and 94.25 % accuracy. The RF achieved an accuracy of 92.42 % and demonstrated good detection efficiency. However, the BP and SVM performed relatively poorly, with accuracies of 90.42 % and 80.42 % respectively. Considering the time-consuming nature of data collection for large datasets during the detection process, several sets of one-dimensional data were randomly selected for further experiments, through which 400 sets of data were found to be more prominent with 700 sets of data. The final experimental results demonstrate that, in the traceability detection of a small-scale dataset containing 400 instances, the CNN exhibits the best performance, achieving an accuracy of 86.67 %. The performance of the LSTM is slightly lower than that of the CNN, with an accuracy of 84.12 %. The accuracies of the BP, RBF, SVM, and RF were relatively lower at 82.5 %, 82.5 %, 74.12 %, and 74.18 % respectively. In the experiments with a dataset of 700 instances, the performance of CNN stands out prominently. In comparison to the CNN algorithm on the 400-instance dataset and the second-best LSTM algorithm, the accuracy, precision, recall, and F1-score have exhibited significant improvements by 53.13 %, 98.98 %, 481.43 %, and 140.36 %, respectively. The corresponding values are 0.9043, 0.9083, 0.9052, and 0.906. This study demonstrates the non-destructive traceability of jujube fruits using near-infrared spectroscopy data combined with neural network algorithms. Additionally, it reduces the need for additional preprocessing steps in data handling and achieves promising detection results. This research has positive implications for the traceability of jujube fruits and related crops.

Chromosome-level genome assembly of Solanum pimpinellifolium

Solanum pimpinellifolium, the closest wild relative of the domesticated tomato, has high potential for use in breeding programs aimed at developing multi-pathogen resistance and quality improvement. We generated a chromosome-level genome assembly of S. pimpinellifolium LA1589, with a size of 833 Mb and a contig N50 of 31 Mb. We anchored 98.80% of the contigs into 12 pseudo-chromosomes, and identified 74.47% of the sequences as repetitive sequences. The genome evaluation revealed BUSCO and LAI score of 98.3% and 14.49, respectively, indicating high quality of this assembly. A total of 41,449 protein-coding genes were predicted in the genome, of which 89.17% were functionally annotated. This high-quality genome assembly serves as a valuable resource for accelerating the biological discovery and molecular breeding of this important horticultural crop.

Upgrading Strategies for Managing Nematode Pests on Profitable Crops.

Plant-parasitic nematodes (PPNs) reduce the high profitability of many crops and degrade their quantitative and qualitative yields globally. Traditional nematicides and other nematode control methods are being used against PPNs. However, stakeholders are searching for more sustainable and effective alternatives with limited side effects on the environment and mankind to face increased food demand, unfavorable climate change, and using unhealthy nematicides. This review focuses on upgrading the pre-procedures of PPN control as well as novel measures for their effective and durable management strategies on economically important crops. Sound and effective sampling, extraction, identification, and counting methods of PPNs and their related microorganisms, in addition to perfecting designation of nematode-host susceptibility/resistance, form the bases for these strategies. Therefore, their related frontiers should be expanded to synthesize innovative integrated solutions for these strategies. The latter involve supplanting unsafe nematicides with a new generation of safe and reliable chemical nematicidal and bionematicidal alternatives. For better efficacy, nematicidal materials and techniques should be further developed via computer-aided nematicide design. Bioinformatics devices can reinforce the potential of safe and effective biocontrol agents (BCAs) and their active components. They can delineate the interactions of bionematicides with their targeted PPN species and tackle complex diseases. Also, the functional plan of nematicides based on a blueprint of the intended goals should be further explored. Such goals can currently engage succinate dehydrogenase, acetylcholinesterase, and chitin deacetylase. Nonetheless, other biochemical compounds as novel targets for nematicides should be earnestly sought. Commonly used nematicides should be further tested for synergistic or additive function and be optimized via novel sequential, dual-purpose, and co-application of agricultural inputs, especially in integrated pest management schemes. Future directions and research priorities should address this novelty. Meanwhile, emerging bioactivated nematicides that offer reliability and nematode selectivity should be advanced for their favorable large-scale synthesis. Recent technological means should intervene to prevail over nematicide-related limitations. Nanoencapsulation can challenge production costs, effectiveness, and manufacturing defects of some nematicides. Recent progress in studying molecular plant-nematode interaction mechanisms can be further exploited for novel PPN control given related topics such as interfering RNA techniques, RNA-Seq in BCA development, and targeted genome editing. A few recent materials/techniques for control of PPNs in durable agroecosystems via decision support tools and decision support systems are addressed. The capability and effectiveness of nematicide operation harmony should be optimized via employing proper cooperative mechanisms among all partners.

Seed treatment with Bacillus bacteria improves maize production: a narrative review

Maize (Zea mays L.) is an important crop in relation to its production and consumption. Production of maize is constrained by soil infertility and poor quality seed. Microbial technologies like seed treatment with Bacillus bacteria improves the productivity of maize on infertile soil. However, due to variations in maize growth environments and Bacillus species, this review was conducted to identify the common species of Bacillus species used for seed treatment, and provide an overview of the effect of seed treatment with Bacillus on maize growth and yield. Results show that Bacillus subtilis, Bacillus pumilus and Bacillus amyloliquefaciens were the dominant species used for seed treatment. Bacillus was used as both a biofertiliser and biopesticide. The conspicuous positive effects of Bacillus were in plant height, shoot and root length, and shoot dry matter depending on the species. In terms of grain yield, Bacillus subtilis (8502 kg ha-1), Bacillus amyloliquefaciens (6822 kg ha-1) and Bacillus safensis (5562 kg ha-1) were the bacterial species that had an overall pronounced effect. The highest increase in grain yield was in the interactive effect of Bacillus megaterium + Bacillus licheniformis (18.1%) and sole Bacillus subtilis (15.6%), while Bacillus pumilus reduced grain yield by 4.8%. This shows that the improvement of maize productivity using Bacillus bacteria requires careful selection of the species for seed treatment.

Stability Evaluation for Heat Tolerance in Lettuce: Implications and Recommendations.

Lettuce is an important cool-temperature crop, and its principal abiotic stress is low heat tolerance. Lettuce production has become more challenging in the context of global warming changes. Hence, the main objective of this research was to investigate the relationship between stability and lettuce heat tolerance. Field and greenhouse trials were run in 2015 (summer) and 2016 (fall and spring). The environments were composed of a combination of season and place (field, glass, and plastic greenhouse), and the assessed genotypes were BRS Leila and Mediterrânea, Elisa, Everglades, Simpson, and Vanda. Statistical analysis showed a significant effect (p < 0.05) of environments (E), genotypes (G), and the GEI. BRS Leila, Elisa, and BRS Mediterrânea showed the greatest means to the first anthesis in suitable environments (milder temperatures). Among these cultivars, BRS Mediterrânea was the most stable and adapted to hot environments. The environmental conditions studied in this research, mainly high temperatures, could become a reality in many lettuce-producing areas. Therefore, the results can help indicate and develop lettuce varieties with greater heat tolerance.

First report of Candidatus Phytoplasma australasia (16SrII- subgroup D) associated with virescence of Chia (Salvia hispanica L.) from India.

Chia (Salvia hispanica L., Lamiaceae) is an important commercial and medicinal crop recently popularized in India and widely cultivated in Karnataka (Joy et al., 2022). During the field survey of chia crop diseases, characteristic virescence like symptoms were observed at Main Agricultural Research Station, UAS, Raichur as well as at Mysuru and HD Kote region. The incidence was ranged from 2 - 4 per cent in an area of 30 hectares. Typical symptoms associated with chia are malformed shoot and/or inflorescence axis with reduced floral parts with greenish florets. The stem axis become thick, flattened, leaves are reduced towards terminal region. A total of five phytoplasma suspected samples and five suspected healthy samples were used for identification purpose. The Plant Genomic DNA Miniprep Kit (Sigma Aldrich, USA) was used to extract the DNA from five symptomatic and five asymptomatic samples and the DNA was used as template to amplify the phytoplasma-specific 16S rDNA gene using P1/P7 primers (Deng and Hiruki, 1991; Schneider et al., 1995) followed by nested PCR using R16F2n/R16R2 primers (Gundersen and Lee 1996). The expected 1.25-kb amplicon was detected from the suspected symptomatic samples. Nested PCR products were purified and sequenced from both the directions using ABIX370 Genetic Analyzer (Applied Biosystems, Waltham, MA). The analysis revealed that all five sequences shared 100 per cent identity with Candidatus Phytoplasma aurantifolia (OM649850, ON975012) and Tomato big bud phytoplasma (EF193359). The in-silico RFLP pattern of F2n/R2 primed region of 16S rDNA gene analyzed by using iPhyClassifier (Zhao et al. 2009) revealed that the sequence shared 98.72 per cent nucleotide sequence similarity with coefficient value of 1.00 to the reference strain RFLP pattern of 16Sr group II, subgroup D (witches'-broom disease of lime; U15442). Based on 16SrDNA sequences and in-silico RFLP analysis, the phytoplasma associated with the chia virescence was identified as a member of 16SrII-D group. Further, SecA gene was also amplified from the samples using SecAfor1/SecArev3 primer pair (Hodgetts et al., 2008). All samples produced ~400 bp products and sequenced as detailed above. Sequence analysis by nBLAST revealed 100 per cent similarity to Ca. P. australasia (MW020545) and Ca. P. aurantifolia isolate Idukki Kerala 1 (MK726369) both representing 16SrII-D group phytoplasma. The representative sequence (16Sr: PP359693, PP359694; secA:PP386558, PP386559) were deposited in GenBank. Chia virescence phytoplasma belonging to Ca. phytoplasma australasia has not been reported anywhere. The phytopathological studies associated with chia crop are very limited. Joy et al. (2022) reported the occurrence of foot rot disease caused by Athelia rolfsii. Several hosts are recorded to be associated with 16SrII D phytoplasma which includes china aster, eggplant and crotalaria (Mahadevakumar et al., 2017, Yadav et al., 2016a, b). Now the wide occurrence of the phytoplasma in the area might have transmitted by vectors. The occurrence of virescence is of great importance as it affects the overall yield which reduces the market value. To our knowledge, this is the first report of a group 16SrII-D phytoplasma associated with chia virescence in India.

Analysis of Heterosis and Stability in Brinjal at Multi-locations of Gujarat for Yield and its Attributing Traits

Background: Brinjal is the important vegetable crop. The extensive use of heterosis in vegetable crops has led to the creation of numerous high-yielding hybrid cultivars. Newly developed hybrids should also be tested across environments to develop region specific hybrids or hybrid for all the regions. Methods: The purpose of the present experiment was to develop region-specific brinjal (Solanum melongena L.) hybrids through line ´ tester design and to gather information on heterosis and stability for fruit yield and associated characters at multiple locations of viz., Sardarkrushinagar, Jagudan and Bhiloda under the jurisdiction of S.D.A.U. in late rabi 2021–2022. Result: There were noticeable genetic differences in the material for the majority of the traits. Several crosses were identified which showed desirable heterosis for at least one yield component in individual and pooled over locations. Fruit yield per plant is the most important trait. Hybrid ‘ISD-006 × GOB-5’ showed the highest fruit yield and maximum standard heterosis for fruit yield per plant, fruit girth, fruit weight, total soluble solids and chlorophyll content index. The interaction of G × E was highly significant for the majority of characters suggesting the differential response of experimental material to the varied locations. Stability analysis suggested ‘ISD-006 × GAB-6’, ‘JDNB-16-1 × GOB-1’ and ‘ABSR-2 × GAB-6’ as the top three stable crosses for fruit yield per plant. Overall, ‘ISD-006 × GRB-5’ appeared to be an outstanding cross for fruit yield and its attributing traits in terms of heterobeltiosis and standard heterosis in individual and pooled environments. As well as it was found to be average stable for four major traits and stable in favourable environments for fruit weight and yield per plant. Also, incorporating hybrids identified in this experiment might potentially result in transgressive segregants in brinjal.

Comparative transcriptome analysis of vegetable soybean grain discloses genes essential for grain quality

BackgroundVegetable soybean is an important vegetable crop in world. Seed size and soluble sugar content are considered crucial indicators of quality in vegetable soybean, and there is a lack of clarity on the molecular basis of grain quality in vegetable soybean.ResultsIn this context, we performed a comprehensive comparative transcriptome analysis of seeds between a high-sucrose content and large-grain variety (Zhenong 6, ZN6) and a low-sucrose content and small-grain variety (Williams 82, W82) at three developmental stages, i.e. stage R5 (Beginning Seed), stage R6 (Full Seed), and stage R7 (Beginning Maturity). The transcriptome analysis showed that 17,107 and 13,571 differentially expressed genes (DEGs) were identified in ZN6 at R6 (vs. R5) and R7 (vs. R6), respectively, whereas 16,203 and 16,032 were detected in W82. Gene expression pattern and DEGs functional enrichment proposed genotype-specific biological processes during seed development. The genes participating in soluble sugar biosynthesis such as FKGP were overexpressed in ZN6, whereas those responsible for lipid and protein metabolism such as ALDH3 were more enhanced in W82, exhibiting different dry material accumulation between two genotypes. Furthermore, hormone-associated transcriptional factors involved in seed size regulation such as BEH4 were overrepresented in ZN6, exhibiting different seed size regulation processes between two genotypes.ConclusionsHerein, we not only discovered the differential expression of genes encoding metabolic enzymes involved in seed composition, but also identified a type of hormone-associated transcriptional factors overexpressed in ZN6, which may regulate seed size and soluble content. This study provides new insights into the underlying causes of differences in the soybean metabolites and appearance, and suggests that genetic data can be used to improve its appearance and textural quality.

Morphological and yield trait-based evaluation and selection of chili (Capsicum annuum L.) genotypes suitable for both summer and winter seasons

Abstract Chili (Capsicum annuum L.) is one of the most important vegetable cum spice crops grown throughout the world. Evaluation of genotypes based on morphological and yield contributing traits provides the opportunity to assess variability and select superior genotypes. The present investigation was carried out from April 2018 to November 2018 in the summer season and from December 2018 to June 2019 in the winter season in a net house and field, respectively, in the Department of Genetics and Plant Breeding, Patuakhali Science and Technology University, Patuakhali, Bangladesh. A set of 30 qualitative and 13 quantitative characteristics developed by Biodiversity International were recorded to evaluate the genotypes for morphological and yield-contributing traits. The estimated Shannon–Weaver diversity for qualitative traits ranged from 0 to 1.334, where the maximum diversity was recorded for fruit color at an intermediate stage, stem color after transplanting, fruit surface, stigma position, calyx margin shape, and fruit set, while the minimum diversity (H′ = 0) was observed for the traits corolla shape and anthocyanin spots, indicating no diversity of these traits. Thirteen quantitative traits were also analyzed for the selection of the genotypes with the greatest yield. The quantitative traits also exhibited a wide range of variability according to descriptive statistics and analysis of variance. Moreover, the present study revealed a high heritability for almost all of the quantitative traits, which was confirmed by the values of genotypic coefficient of variation, phenotypic coefficient of variation, h 2 b, and GA for both the summer and winter seasons. This suggests that these traits are predominantly governed by additive genes, making them highly amenable to effective selection. The heatmap analysis based on the morphological quantitative traits revealed five clusters for both the summer and winter seasons for the studied chili genotypes, four distinct clusters in the summer season, and three distinct clusters in the winter season for the parameters studied. Using the multi-trait genotype–ideotype distance index based on multiple trait information, the genotypes R-06, R-07, C0525-2, BARI (Bangladesh Agricultural Research Institute) Morich-2, Tengakhali, and Rcy 002 were selected as promising for both the summer and winter seasons. Hence, they are recommended for commercial cultivation or use as parent materials in future breeding for the development of new cultivars adaptable to climate change.

The effect of different sowing depth on the yield and yield-forming elements of maize

On a global scale, maize is an important food, feed and industrial crop, with an increasing production area (Nagy, 2007 and 2021). Among the environmental impacts, extreme weathering factors caused by climate change are causing serious problems for crop stability, and maize is no exception. Precision farming is today's most innovative agrotechnical approach, which can greatly increase crop safety and reduce costs by exploiting the genetic potential of our soils and the hybrids we use (Torres, 2012). Sowing is one of the most important agrotechnical elements, and with good seeding we can ensure that we have all the requirements of a high yielding, high growing crop (Pepó, 2019). In the case of sowing, it is important to place the seed in moist soil to provide the optimum environmental conditions for the crop to ensure uniform emergence (Széles et al., 2020; Shrestha et al., 2018). Precision planting is the market leading technology in precision planters in the United States, and when cooperating with them we looked for methods to optimise the depth of sowing and to monitor the effect on yield by studying the initial development of the plants. The seeder was equipped with the company's SmartFirmer soil scanner integrated into the seed drill. Automatic seed depth adjustment based on soil moisture is an exceptional solution for uniform emergence and drought protection.

First report of Stagonosporopsis cucurbitacearum Causing Gummy Stem Blight on Trichosanthes kirilowii Maxim. in China.

Trichosanthes kirilowii Maxim. (Cucurbitaceae), one of the Chinese herbal medicines, is an economically important crop in Anhui Province, China. In recent years, gummy stem blight disease, a major disease of cucurbits, was widespread in many T. kirilowii plantations. The initial symptoms on the naturally infected stems appeared as dark brown water-soaked lesions, and as the disease progressed, vines of T. kirilowii gradually withered. On leaves, brown water-soaked lesions were visible initially, and then lesions enlarged and coalesced, resulting in extensive necrosis of leaves. On fruit, lesions covered with the white mycelium were nearly circular and tan to brown initially. Subsequently, the diseased fruit turned black and rotten commonly known as fruit rot or black rot. A Stagonosporopsis-like organism was consistently isolated from symptomatic stems, leaves and fruits. Fungal isolates were initially white and later turned dark grey or black with woolly to floccose aerial mycelium on PDA medium. Twenty-four isolates from different plantations were selected for further morphological studies. Pycnidia and conidia were formed after inoculating on cucumber fruit for 3 days. Pycnidia were globose to sub-globose, brown, ostiolate and 106.7 to 213.6 μm (average 160.1 μm, n = 50) in diameter. Conidia were hyaline, ellipsoidal, aseptate or one-septate, slightly constricted at the septa, 6.1 to 13.6 × 3.5 to 4.8 μm (average 9.9 × 4.1 μm, n = 50), and contained two or more oil drops. Three different loci of the genomic DNA, including the nuclear ribosome DNA internal transcribed spacer (ITS), RNA polymerase II second-largest subunit (RPB2), and β-tubulin (TUB2) genes., were amplified using primers ITS1/ITS4 (White et al. 1990), RBP2DF/RBP2DR (Lawrence et al. 2013), and T1/β-Sandy-R (O' Donnell and Cigelnik 1997; Stukenbrock et al. 2012), respectively and sequenced. A phylogenetic tree was built based on analysis of ITS, RPB2, and TUB2 sequences that deposited in GenBank (MW485497-MW485502 for ITS, MW531661-MW531666 for RPB2, and MW531667-MW531672 for TUB2), using the maximum likelihood method. The phylogenetic tree showed that the isolates fell into a single clade with S. cucurbitacearum. On the basis of morphological and molecular characteristics, the isolates obtained from T. kirilowii were identified as Stagonosporopsis cucurbitacearum. Pathogenicity tests were carried out on stems and leaves of 4-week-old T. kirilowii seedlings and on immature fruit collected from adult T. kirilowii plants. The epidermis, previously injured with a syringe needle, was inoculated with 5-mm-diameter mycelial plugs, and the inoculated areas were then wrapped in water-soaked cotton. Controls were similarly inoculated with agar plugs. The diameters of lesions were measured in two perpendicular directions. Re-isolations from the stem and leaf lesions were performed on the PDA medium. Stagonosporopsis cucurbitacearum, was re-identified based on its colony and conidial characteristics and, therefore, completed Koch's postulates. Gummy stem blight caused by S. cucurbitacearum has been reported in a wide range of hosts, including cucumber, luffa, pumpkin, gourd, muskmelon, cantaloupe, and watermelon (Jiang et al. 2015; Keinath 2011; Zhao et al. 2019). To our knowledge, this is the first report of gummy Stem blight disease on T. kirilowii caused by S. cucurbitacearum in China. The research provides a basis for the development and implementation of effective management strategies. Pathogenicity tests were carried out on stems and leaves of 4-week-old T. kirilowii seedlings and on immature fruits collected from adult T. kirilowii plants. The epidermis, previously injured with a syringe needle, was inoculated with 5-mm-diameter mycelial plugs, and the inoculated areas were then wrapped in water-soaked cotton. Controls were treated similarly but inoculated with agar plugs. Diameters of lesions were measured in two mutually perpendicular directions. Reisolations from the lesions were performed on PDA medium, and was re-identified based on its colony and conidial characteristics to complete Koch's postulates. Gummy stem blight caused by S. cucurbitacearum have been reported in a wide range of hosts, including cucumber, luffa, pumpkin, gourd, muskmelon, cantaloupe, and watermelon (Jiang et al. 2015; Keinath 2011; Zhao et al. 2019). To our knowledge, this is the first report of gummy Stem blight disease on T. kirilowii caused by S. cucurbitacearum in China. The research provides a basis for the development and implementation of effective management strategies.