Pod Development Stage Research Articles

Metabolomics and Transcriptomics Jointly Explore the Mechanism of Pod Color Variation in Purple Pod Pea

Although the pod color was one of the seven characteristics Mendel studied in peas, the mechanism of color variation in peas with purple pods has not been reported. This study systemically analyzed the difference between two pea accessions with green pods (GPs) and purple pods (PPs) at two pod developmental stages from the metabolome and transcriptome levels, aiming to preliminarily explore the mechanism and of color variation in PPs and screen out the candidate genes. A total of 180 differentially accumulated metabolites (DAMs) belonged to seven flavonoid subgroups and 23 flavonoid-related differentially expressed genes (DEGs) were identified from the analysis of the KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway enrichment, respectively. Among the 180 flavonoid metabolites, ten anthocyanin compounds, which were the principal pigments in PPs and might be the major reason for the purple color formation, were significantly up-accumulated in both of the different pod development stages of PPs. A transcriptome analysis revealed that eight genes encoding enzymes (C4H, CHI, F3H, F3’H, F3’5’H, DFR, ANS, and FLS) involved in the flavonoid synthesis pathway were significantly upregulated in PPs and finally resulted in the significant accumulation of flavonoid and anthocyanin metabolites. The joint analysis of two omics and a weighted gene co-expression network analysis (WGCNA) also screened out that the WD-40 protein-encoding gene, one WRKY and three MYB transcription factor genes exhibited significant upregulation in PPs, and highly correlated with several structural genes in flavonoid synthesis pathways, indicating that these genes are involved in the regulation of pod color formation in PPs. Overall, the results of this study first explored the mechanism underlying the purple color variation between PPs and GPs, and then preliminarily screened out some candidate genes responsible for the pod color formation in PPs.

Yield and Quality of Snap Bean (Phaseolus vulgaris L.) Cultivars from Successive Harvests in Spring and Fall Production Seasons in Oklahoma

Numerous studies have evaluated snap bean pod yield and quality at different pod maturities, but only a few have evaluated yield and pod quality across different seasons within the same year or for pods harvested at the same relative maturity successively from the same plants. Hence, the aim of this study was to determine if snap bean yield or pod sugar accumulation differed for pods at the same relative stage of maturity from plants harvested multiple times in spring and fall planting seasons in north central Oklahoma. Nine snap bean cultivars (seven green-podded and two yellow-podded) were field-grown in Spring and Fall 2022 and 2023. Pods were harvested weekly for 3 weeks from the same plants and at the same relative pod development stage. Pod yield and sugar concentration were measured. The total pod yield pooled across seasons and years of ‘Sybaris’ was lower (approximately 4100 kg⋅ha−1) than that of six of the other cultivars, which yielded between 7000 to 8600 kg⋅ha−1. In spring, pod yield increased from 900 to 1300 kg⋅ha−1 in the first harvest to 3500 to 3700 kg⋅ha−1 by the last harvest. In Fall 2022, the yield decreased from 1900 kg⋅ha−1 in the first harvest to 690 kg⋅ha−1 by the last harvest, whereas in Fall 2023 the pod yield remained steady at 2600 to 3000 kg⋅ha−1 at each weekly harvest. The Fall 2022 decrease in yield was likely caused by low temperatures during pod development and a freeze that shortened the harvest season. From the first to the last harvest, the total pod sugar concentration decreased from 145.5 to 107.2 mg⋅g−1, glucose decreased from 48.4 to 33.0 mg⋅g−1, and fructose decreased from 90.7 to 52.0 mg⋅g−1. However, the sucrose concentration increased from 9.2 to 21.9 mg⋅g−1. This decrease in the total and monomeric sugar concentrations, coupled with a disproportionally smaller increase in sucrose, is typical for overly mature snap bean pods, which are considered less desirable because of lower sweetness. Snap bean pods harvested later in the growing season in a successive harvest system at the same relative stage of maturity as earlier harvested pods had sugar concentrations resembling those of overly mature pods, indicating that snap bean plant age may influence the pod sugar concentration.

Effect of Irrigation and Foliar Nutrition on Yield and Economics of Rice Fallow Blackgram

The present investigation, entitled “Effect of Irrigation and Foliar Nutrition on Yield and Economics of rice fallow blackgram” was carried out at the Agricultural College Farm, Naira, during the rabi season of 2023-24. The experiment was laid out in Strip-plot design with 3 main plots viz., M1- No Irrigation; M2-Irrigation at flower initiation and M3-Two irrigations one at flower initiation one at early pod development and 4 Sub Plots viz., S1- water spray; S2- 1%19:19:19(NPK); S3-2% Urea; S4-2% DAP; S5-4 ml Nano urea; S6-3ml Nano DAP with two replications for each treatment. The results showed that irrigation at flower initiation and early pod development stage and foliar spray of 2% DAP at flower initiation and early pod development stage recorded maximum seed yield, haulm yield and economics.

Comparative genomics and transcriptomics analysis of the bHLH gene family indicate their roles in regulating flavonoid biosynthesis in Sophora flavescens.

The basic helix-loop-helix (bHLH) transcription factors play crucial roles in various processes, such as plant development, secondary metabolism, and response to biotic/abiotic stresses. Sophora flavescens is a widely used traditional herbal medicine in clinical practice, known for its abundant flavonoids as the main active compounds. However, there has been no comprehensive analysis of S. flavescens bHLH (SfbHLH) gene family reported currently. In this study, we identified 167 SfbHLH genes and classified them into 23 subfamilies based on comparative genomics and phylogenetic analysis. Furthermore, widespread duplications significantly contributed to the expansion of SfbHLH family. Notably, SfbHLH042 was found to occupy a central position in the bHLH protein-protein interaction network. Transcriptome analysis of four tissues (leaf, stem, root and flower) revealed that most SfbHLH genes exhibited high expression levels exclusively in specific tissues of S. flavescens. The integrated analysis of transcriptomics and metabolomics during pod development stages revealed that SfbHLH042 may play a central role in connecting SfbHLH genes, flavonoids, and key enzymes involved in the biosynthesis pathway. Moreover, we also checked the expression of 8 SfbHLH genes using RT-qPCR analysis to realize the expression profiles of these genes among various tissues at different cultivated periods and root development. Our study would aid to understand the phylogeny and expression profile of SfbHLH family genes, and provide a promising candidate gene, SfbHLH042, for regulating the biosynthesis of flavonoids in S. flavescens.

Effect of fertility levels and stress mitigating chemicals on nutrient content, uptake, intercropping advantage and competition effect in cowpea-baby corn intercropping

The primary goal of this study was to analyze how various row ratios of intercrops, in conjunction with different fertilizer levels with spray of two stress mitigating chemical, affect nutrient content, land productivity, and economic viability during Summer season. Furthermore, we aimed to explore the competitive dynamics within legume/cereal intercropping systems. Hence, A field experiment at Agriculture University, Kota, during the summers of 2019 and 2020, investigated different cowpea+baby corn intercropping system's intercropping indices, nutrient dynamics, uptake, and post-harvest soil nutrient balance under varying recommended fertilizer levels and foliar spray of stress mitigating chemicals. Using a split-split plot design replicated four times, the experiment involved thirty treatment combinations, including five intercropping techniques viz. Sole cowpea, sole baby corn, cowpea+baby corn 2:1, cowpea+baby corn 3:1, cowpea+baby corn 4:1 in the main plot, three fertility levels viz. 100%, 125% and 150% recommended dose of fertilizer (RDF) in subplots, and two stress mitigation chemicals; CaCl2 0.5% and KNO3 1% in sub-subplots. The findings revealed notable trends, including nitrogen (N) and (P) content in cowpea seeds and straw, baby corn cobs and fodder, as well as enhanced land-equivalent ratio (LER) and monetary advantage index (MAI) within the cowpea+baby corn 2:1 row ratio. However, despite these advantages, total N and P uptake were markedly higher in sole crops. Notably, sole cowpea demonstrated the highest actual N and P balance and lowest was under sole baby corn. Among the fertility levels, the 150% RDF level exhibited the most favorable outcomes across various parameters, including LER, MAI, NP content, and uptake in both crops. Additionally, higher fertility levels correlated with increased apparent and actual soil nutrient balances. While, among stress mitigation chemicals, CaCl2 0.5% resulted in significantly heightened N and P uptake. Hence, to optimize intercropping dynamics and maintain soil nutrient balance, it is advisable to intensify cowpea cultivation along with baby corn in a 2:1 row ratio, utilizing 150% RDF is beneficial. Additionally, alleviating higher temperature stress during the summer season can be achieved by applying a 0.5% solution CaCl2 through spraying at the flowering and pod development stages of cowpea.

Integrating S1A microwave remote sensing and DSSAT CROPGRO simulation model for groundnut area and yield estimation

Integrating S1A microwave remote sensing and DSSAT CROPGRO simulation model for groundnut area and yield estimation

Low Light at Specific Growth Stage Affects Photoassimilates Transportation, Seed Quality and Yield in Brassica napus L.

ABSTRACTIn many parts of the world, solar radiation has decreased during the past 50 years due to industrialisation‐induced elevations in air aerosols which has negatively impacted crop productivity. Climate change threatens rapeseed (Brassica napus L.) production due to shade stress caused by reduced light radiation. However, studies on how shade affects photosynthetic mechanisms in rapeseed (leaves and pod wall) are not well documented. Understanding the mechanisms of shade on yield formation in rapeseed is important for breeding shade‐tolerant rapeseed varieties and optimising agricultural management practices in low‐light areas. Therefore, this study assesses the impacts of ‘global dimming’ simulated by shading at a specific period on rapeseed's photosynthetic behaviour, yield and seed quality. A two‐factor split‐plot design was arranged with three shading treatments (CK, FS and PS) and two hybrid genotypes (Chuannong and Zhongyouza) of rapeseed. We observed that shading at the flowering stage (FS) significantly inhibited the leaf area index, chlorophyll content, photosynthetic efficiency and enzymatic activities of both genotypes. Besides that, shading at pod development stage (PS) substantially declined the pod photosynthetic characteristics and transportation of carbohydrates towards economic organ (seeds) which directly decreased the yield of rapeseed. We found that PS treatment remarkably declined the oil content of both genotypes. According to the results, the photosynthetic capacity of rapeseed pod wall had a greater impact on yield and seed quality than leaves. Therefore, improving the photosynthetic capacity and material transport efficiency of the pod wall is a potential measure to increase the yield of rapeseed under shade stress. This study provides a new insight into the effects of shade on rapeseed production and provides a valuable reference for rapeseed breeding techniques to develop high‐yielding genotypes by enhancing the photosynthetic efficiency of rapeseed pod wall in low‐light conditions.

Root and shoot studies of summer cowpea (Vigna unguiculata) and baby corn (Zea mays) under intercropping system with different levels of fertility and stress-mitigating chemicals

An experiment was conducted during summer seasons of 2019 and 2020 at College of Agriculture (Agriculture University, Kota), Ummedganj, Rajasthan, to study the root and shoot of summer cowpea [Vigna unguiculata (L.) Walp.] and baby corn (Zea mays L.) under intercropping system with different levels of fertility and stress-mitigating chemicals. The experiment was laid out in a split-split plot design with 4 replications having 30 treatment combinations with 5 intercropping systems [sole cowpea; sole baby corn; cowpea + baby corn (2:1); cowpea + baby corn (3:1); and cowpea + baby corn (4:1)] in the main plot and 3 fertility levels, viz. 100; 125; and 150% RDF (Recommended dose of fertilizer) in subplot and 2 stress mitigating chemicals (0.5% CaCl2 and 1% KNO3 at flowering and pod development stage of cowpea) in sub-sub plot. Results revealed significant increase in shoot weight, root weight, root-to-shoot ratio, cowpea equivalent yield (CEY) and number and dry weight of nodules in 2:1 row cowpea + baby corn intercropping system over other row ratios. The 2:1 row ratio significantly increased root:shoot ratio of cowpea by 20.9, 15.2, and 7.3% over sole cowpea, 4:1 and 3:1 row ratio, respectively, and resulted in the highest root-to-shoot ratio for baby corn, recording 18.3, 14.5, and 6.8% increase over sole baby corn, 4:1, and 3:1 row ratios of cowpea and baby corn, respectively. Further shoot weight, root weight, root:shoot ratio in cowpea and baby corn, CEY and the number and dry weight of nodules in cowpea exhibited a notable increase in 150% RDF as compared to lower fertility levels (100 and 125% RDF). Applying 150% RDF resulted in a significantly higher root:shoot ratio for both cowpea and baby corn, with increases of 11.3 and 4.5% over 100 and 125% RDF for cowpea, and 11.6 and 5.5% over 100 and 125% RDF for baby corn, respectively. Foliar application of 0.5% CaCl2 at the flowering and pod-developing stages significantly augmented all the aforementioned parameters for both cowpea and baby corn.

Effect of Agronomic Biofortification of Zn and Fe on Growth, Yield and Economics of Pigeonpea

Pigeonpea (Cajanus cajan) is a major leguminous crop providing substantial nutritional benefits, especially protein to millions of people worldwide. However, its yield and nutritional quality are often constrained by micronutrient deficiencies, particularly zinc (Zn) and iron (Fe). This study investigates the effects of agronomic fortification with Zn and Fe on the growth, yield parameters and overall yield of pigeonpea. The experiment was conducted through a randomized complete block design with nine treatments and replicated thrice. Agronomic fortification involved foliar application of Zn and Fe at flowering and pod development stages. Results indicated that among different treatments the combined foliar application of 0.5 % ZnSO4 + 0.5 % FeSO4 at flower and pod initiation recorded significantly higher plant height (156.7 cm), number of branches per plant (16.8), number of pods per plant (98.5), number of seeds per pod (5.4), pod weight per plant (128.5 g), seed weight per plant (83.5 g), seed yield (1056 kg ha-1) and stalk yield (2503 kg ha-1) in the fortified treatments compared to the control. Notably, the combined Zn-Fe fortification exhibited the most pronounced effects on growth and yield parameters. Overall, agronomic fortification with Zn and Fe positively influenced the growth, yield parameters and yield of pigeonpea, suggesting its potential as a sustainable strategy to alleviate micronutrient deficiencies and enhance crop productivity in pigeonpea cultivation systems.

Yield response and water productivity of soybean (Glycine max L.) to deficit irrigation and sowing time in south-eastern Australia

Yield response and water productivity of soybean (Glycine max L.) to deficit irrigation and sowing time in south-eastern Australia

RHIZOSPHERE MICROBIOME, SOIL ENZYMES AND GROUNDNUT YIELD AS INFLUENCED BY ADDITION OF BIOCHAR AND FERTILIZERS IN IRRIGATED ALFISOL OF NORTH COASTAL ANDHRA PRADESH

The field experiment was conducted in irrigated Alfisols of North coastal Andhra Pradesh tostudy the effect of biochar and chemical fertilizers on rhizosphere microbiome, soil enzymes andyield performance of groundnut crop (variety K-6) during rabi, 2018-19. Biochar application tosoil significantly increased soil bacterial, fungal and actinomycetes population. At pod developmentstage, the highest number of bacterial count (39.0 x106 CFU g-1 soil) was observed in T5 (100%RDF + biochar @ 6 t ha-1) which was on par with all the biochar applied treatments (T3, T4, T6, T7,T8). The Biochar applied @ 6 t ha-1 (T5 & T8) significantly increased the bacterial population ascompared to non-biochar applied treatments (T1 & T2). Fungal and actinomycetes populationfollowed the similar trend of bacterial count. Soil urease activity was significantly superior inbiochar applied treatments (T3, T4, T5, T6, T7, T8) compared to non biochar applied treatments (T1and T2). With increased rates of biochar application the urease activity markedly increased insoil. Similar trend was noticed with respect to dehydrogenase, acid phosphatase and alkalinephosphatase enzymes in soil in response to addition of biochar. At pod development stage, thehighest leaf area index (3.16) was recorded with 100% RDF + biochar @ 6 t ha-1(T5) which wassignificantly higher than T1 (control), T2 (100% RDF) and T6 (75% RDF + biochar @ 2 t ha-1). Thehighest drymatter accumulation of 2951 kg ha-1 at peg penetration and 6428 kg ha-1 at poddevelopment was observed in T5 (100% RDF + biochar @ 6 t ha-1) which was on par with T3(100% RDF + biochar @ 2 t ha-1), T4 (100% RDF + biochar @ 4 t ha-1), T8 (75% RDF + biochar @6 t ha-1) treatments. Groundnut pod yield was highest (4019.58 kg ha-1) in treatment received100% RDF + biochar @ 6 t ha-1, which was on par with T4 (100% RDF + biochar @ 6 t ha-1) and T8(75% RDF + biochar @ 6 t ha-1).

Application of UAV Multispectral Imaging to Monitor Soybean Growth with Yield Prediction through Machine Learning

The application of remote sensing, which is non-destructive and cost-efficient, has been widely used in crop monitoring and management. This study used a built-in multispectral imager on a small unmanned aerial vehicle (UAV) to capture multispectral images in five different spectral bands (blue, green, red, red edge, and near-infrared), instead of satellite-captured data, to monitor soybean growth in a field. The field experiment was conducted in a soybean field at the Mississippi State University Experiment Station near Pontotoc, MS, USA. The experiment consisted of five cover crops (Cereal Rye, Vetch, Wheat, Mustard plus Cereal Rye, and native vegetation) planted in the winter and three fertilizer treatments (Fertilizer, Poultry Liter, and None) applied before planting the soybean. During the soybean growing season in 2022, eight UAV imaging flyovers were conducted, spread across the growth season. UAV image-derived vegetation indices (VIs) coupled with machine learning (ML) models were computed for characterizing soybean growth at different stages across the season. The aim of this study focuses on monitoring soybean growth to predict yield, using 14 VIs including CC (Canopy Cover), NDVI (Normalized Difference Vegetation Index), GNDVI (Green Normalized Difference Vegetation Index), EVI2 (Enhanced Vegetation Index 2), and others. Different machine learning algorithms including Linear Regression (LR), Support Vector Machine (SVM), and Random Forest (RF) are used for this purpose. The stage of the initial pod development was shown as having the best predictability for earliest soybean yield prediction. CC, NDVI, and NAVI (Normalized area vegetation index) were shown as the best VIs for yield prediction. The RMSE was found to be about 134.5 to 511.11 kg ha−1 in the different yield models, whereas it was 605.26 to 685.96 kg ha−1 in the cross-validated models. Due to the limited number of training and testing samples in the K-fold cross-validation, the models’ results changed to some extent. Nevertheless, the results of this study will be useful for the application of UAV remote sensing to provide information for soybean production and management. This study demonstrates that VIs coupled with ML models can be used in multistage soybean yield prediction at a farm scale, even with a limited number of training samples.

Dissection of quantitative trait nucleotides and candidate genes associated with agronomic and yield-related traits under drought stress in rapeseed varieties: integration of genome-wide association study and transcriptomic analysis.

An important strategy to combat yield loss challenge is the development of varieties with increased tolerance to drought to maintain production. Improvement of crop yield under drought stress is critical to global food security. In this study, we performed multiomics analysis in a collection of 119 diverse rapeseed (Brassica napus L.) varieties to dissect the genetic control of agronomic traits in two watering regimes [well-watered (WW) and drought stress (DS)] for 3 years. In the DS treatment, irrigation continued till the 50% pod development stage, whereas in the WW condition, it was performed throughout the whole growing season. The results of the genome-wide association study (GWAS) using 52,157 single-nucleotide polymorphisms (SNPs) revealed 1,281 SNPs associated with traits. Six stable SNPs showed sequence variation for flowering time between the two irrigation conditions across years. Three novel SNPs on chromosome C04 for plant weight were located within drought tolerance-related gene ABCG16, and their pleiotropically effects on seed weight per plant and seed yield were characterized. We identified the C02 peak as a novel signal for flowering time, harboring 52.77% of the associated SNPs. The 288-kbps LD decay distance analysis revealed 2,232 candidate genes (CGs) associated with traits. The CGs BIG1-D, CAND1, DRG3, PUP10, and PUP21 were involved in phytohormone signaling and pollen development with significant effects on seed number, seed weight, and grain yield in drought conditions. By integrating GWAS and RNA-seq, 215 promising CGs were associated with developmental process, reproductive processes, cell wall organization, and response to stress. GWAS and differentially expressed genes (DEGs) of leaf and seed in the yield contrasting accessions identified BIG1-D, CAND1, and DRG3 genes for yield variation. The results of our study provide insights into the genetic control of drought tolerance and the improvement of marker-assisted selection (MAS) for breeding high-yield and drought-tolerant varieties.

Effect of foliar application of micronutrients on summer mungbean varieties on alluvial soil of West Bengal

A field experiment was carried out during the summer seasons of 2020 and 2021 at Jaguli Instructional Farm, BCKV, Nadia (West Bengal), in the Gangetic alluvial soil, to assess the effect of varieties and micronutrient foliar spray on growth parameters, yield components, yield and economics of mungbean. Results revealed that different varieties significantly promoted growth parameters and variety Meha was found to be superior. Growth parameters was significantly higher under molybdenum foliar spray over other micronutrients foliar spray. The maximum number of pods per plant, pod length, seeds per pod and test weight were found in plants receiving sodium molybdenum foliar spray at 0.05%. Maximum seed yield and stover yield were also recorded in the same treatment where 0.05% sodium molybdenum spraying was done at pre flowering and pod development stage. Variety showed significant variation in pods per plant, pod length, seeds per pod and test weight and were maximum in variety Meha. Both seed and stover yield were highest in case of variety Meha over others. The gross returns, net returns and benefit: cost ratio were maximum in Meha variety with foliar application of sodium molybdenum. Hence, variety Meha with foliar spray of molybdenum could be more effective in augmenting mungbean growth, yield and economics in the Gangetic plains of West Bengal in the summer season.

Economics of Production Enhancement of Lentil (Lens culinaris L.) through Micronutrient and Bio-inoculants in Central Plains of U. P.

During the Rabi season respective years 2021-22 and 2022-23, a field experiment was conducted at the student instructional farm of CSAUA&T, Kanpur. Experimental soil had a texture of sandy loam. There are 15 treatment combination involved varying combinations of micronutrients and biofertilizers with three replications of randomized block design. The cultivation of lentil variety Lentil- KLS9-3 (Krish) was carried out in accordance with the suggested agronomic practices. It can be concluded from these findings that the two-year results are consistent with the T14 (RDF + ZnSO4 (0.5%) +FeSO4 (0.5%) foliar spray at pre flowering + pod development stage + Rhizobium) showed the highest values economics parameters i.e., maximum cost of cultivation ₹ 38533 & ₹ 39340 gross returns of ₹105689 & ₹ 115894, net return of ₹ 67156 & ₹ 76554 of respective both of years followed by treatment 15.

Irrigation Scheduling and Nitrogen Management Practices Affected the Nutrient Concentration of Moth Bean under Arid Ecosystem

Efficient utilization of water and fertilizers is important for maximizing yield for moth bean production through improvement the nutrient use efficiency under arid ecosystem. The aim of this study was to evaluate the effects of irrigation and nitrogen fertilizers on growth, yield and nutrient content of moth bean in the western zone of Rajasthan during 2020 & 2021. Treatments included three levels of nitrogen (N1:15 kg N as basal + foliar spray of urea (2%) at flowering stage, N2: 15 kg N + foliar spray of urea (2%) at pod development stage and N3: 15 kg N + foliar spray of urea (2%) at flowering and pod development stages) and levels three levels of irrigation (I1: single irrigation at branching stage, I2: two irrigation at branching + pod development stages and I3: two irrigation at flowering + pod development stages) were laid down in factorial combinations of randomized block design with three replications. The results revealed that 15 kg N + foliar spray of urea (2%) at flowering and pod development stage recorded significantly higher nitrogen, phosphorus and potassium content in seed and haulm over 15 kg N + foliar spray of urea (2%) at flowering stage and 15 kg N + foliar spray of urea (2%) at pod development stage. However, the phosphorus content in seed and haulm was not significantly influenced by N3 and statistically equivalent with N2 and N1 during 2020 and 2021. Potassium content in seed showed significant enhancement under N3, while K content in haulm was not affected significantly during 2020 and pooled basis. Further, irrigation management practices did not show any significant improvement on N, P, K content in seed and haulm during years of 2020 and 2021. While, N content in seed and haulm was significantly improved under I2 over I3 and I1 on pooled basis. Thus, 15 kg N as basal application + foliar spray of urea (2%) at flowering and pod development stages with two irrigations at branching + pod development stages improved the nutrient content in moth bean in arid condition.

Growth and yield response of winter blackgram (Vigna mungo) under high temperature and elevated CO2 conditions

Blackgram is the most important legume crop grown throughout India. It is mostly cultivated during the rainy and winter seasons in central and southern India. An investigation was carried out during winter 2021 to evaluate the effect of High Day Temperature (ambient+3oC) and Elevated CO2 (600ppm) (HDT and eCO2) and High Day and Night Temperature (ambient+3oC) and Elevated CO2 (600ppm) (HDNT and eCO2) on growth and yield of blackgram (Vigna mungo) under soil plant atmospheric research (SPAR) and ambient conditions with eleven treatments (T1 to T11). The results revealed that significant (P=0.05) increase in photosynthetic rate, stomatal conductance, transpiration rate, number of pods per plant and grain yield by 22.3%, 80.6%, 29.2%, 28% and 41.3%, respectively, under HDT and eCO2 conditions from 46 to 60 DAS (days after sowing) in comparison with HDNT and eCO2 and ambient conditions. The increase in chlorophyll index under HDT and eCO2 during 16 to 30 DAS by 12.9%. The significant increase in the number of flowers per plant and biomass of the blackgram was increased under HDT and eCO2 during 31 to 45 DAS by 7% and 38.1%, respectively. However, the plant height and leaf area index of the blackgram were found to have significantly increased under HDT and eCO2 during the early stage (1 to 15 DAS) by 29.3% and 44.5%, respectively. This experiment indicated a significant increase in crop growth, leaf photosynthesis and yield of blackgram under HDT and eCO2 at flowering stage to pod development stage (31 to 60 DAS) followed by HDNT and eCO2 and ambient condition. The overall findings of the study showed that increased temperature and CO2 levels would result in greater biomass production and increased yield for the black gram.

Effect of Zinc Nutrition on Lathyrus (Lathyrus sativus L.) under Varying Sowing Dates in the Gangetic Plains

Background: In the lower Gangetic plains, which have typical short winters and Zn-deficient soil, identifying a temporally flexible sowing window with adequate Zn fertilization assumes importance to produce Zn-dense lathyrus in rice-based systems. The current study was conducted to evaluate the effects of sowing dates and Zn nutrition on growth, Zn enrichment and economics of lathyrus. Methods: The experiment was laid out in a split plot design with three replicates comprising two sowing dates (14th and 29th November) in main plots and eight Zn nutrition encompassing various Zn application methods and method-specific doses in the sub-plots. Result: Late sowing with foliar spraying of 1.0% ZnSO4 at pre-flowering and pod development stages significantly improved growth traits and yield, while fetching maximum economic benefits in lathyrus. Although sowing dates exerted no significant effect, foliar spraying with 1.0% ZnSO4 significantly improved Zn concentration in lathyrus seed (30.36 ppm). Hence, under inevitable late sowing conditions, lathyrus is an ideal choice when accommodated with adequate Zn fertilization since it is capable of sustaining adequate productivity and nutritive values under suboptimal conditions because of its ability to strike a balance between root and shoot growths.

Beta regression model for predicting development of powdery mildew in black gram

Black gram is a widely grown pulse crop in Asia, prized for its nutritional value and compatibility with various cropping systems. However, the occurrence of powdery mildew, Erysiphe polygoni DC disease poses a significant challenge to black gram production, resulting in potential yield losses in Tamil Nadu. Over a six-year period, spanning from 2017-2018 to 2022-2023, field experiments were conducted during the rabi season at the black soil farm of the Agricultural Research Station in Kovilpatti. The primary objective was to evaluate the incidence of powdery mildew in black gram and establish a statistical model by correlating it with weather variables. Notably, observations of disease index were most frequent during the flowering and pod development stages of the crop. Among the eleven weather parameters considered in the study, maximum temperature, afternoon relative humidity, and sunshine hours emerged as the key contributors to explaining the variation in the Disease Index. Further, a betareg model was developed using these selected variables to predict powdery mildew incidence in black gram.

Genome-wide identification and expression analysis of GA20ox and GA3ox genes during pod development in peanut.

Gibberellins (GAs) play important roles in regulating peanut growth and development. GA20ox and GA3ox are key enzymes involved in GA biosynthesis. These enzymes encoded by a multigene family belong to the 2OG-Fe (II) oxygenase superfamily. To date, no genome-wide comparative analysis of peanut AhGA20ox and AhGA3ox-encoding genes has been performed, and the roles of these genes in peanut pod development are not clear. A whole-genome analysis of AhGA20ox and AhGA3ox gene families in peanut was carried out using bioinformatic tools. The expression of these genes at different stage of pod development was analyzed using qRT-PCR. In this study, a total of 15 AhGA20ox and five AhGA3ox genes were identified in peanut genome, which were distributed on 14 chromosomes. Phylogenetic analysis divided the GA20oxs and GA3oxs into three groups, but AhGA20oxs and AhGA3oxs in two groups. The conserved pattern of gene structure, cis-elements, and protein motifs further confirmed their evolutionary relationship in peanut. AhGA20ox and AhGA3ox genes were differential expressed at different stages of pod development. The strong expression of AhGA20ox1/AhGA20ox4, AhGA20ox12/AhGA20ox15, AhGA3ox1 and AhGA3ox4/AhGA3ox5 in S1-stage indicated that these genes could have a key role in controlling peg elongation. Furthermore, AhGA20ox and AhGA3ox also showed diverse expression patterns in different peanut tissues including leaves, main stems, flowers and inflorescences. Noticeably, AhGA20ox9/AhGA20ox11 and AhGA3o4/AhGA3ox5 were highly expressed in the main stem, whereas the AhGA3ox1 and AhGA20ox10 were strongly expressed in the inflorescence. The expression levels of AhGA20ox2/AhGA20ox3, AhGA20ox5/AhGA20ox6, AhGA20ox7/AhGA20ox8, AhGA20ox13/AhGA20ox14 and AhGA3ox2/AhGA3ox3 were high in the flowers, suggesting their involvement in flower development. These results provide a basis for deciphering the roles of AhGA20ox and AhGA3ox in peanut growth and development, especially in pod development.