Modern Breeding Research Articles

Application of CRISPR-Mediated Gene Editing for Crop Improvement.

Plant gene editing has become an important molecular tool to revolutionize modern breeding of crops. Over the past years, remarkable advancement has been made in developing robust and efficient editing methods for plants. Despite a variety of available genome editing methods, the discovery of most recent system of clustered regularly interspaced short palindromic repeats-CRISPR-associated proteins (CRISPR-Cas) has been one of the biggest advancement in this path, with being the most efficient approach for genome manipulation. Until recently, genetic manipulations were confined to methods, like Agrobacterium-mediated transformations, zinc-finger nucleases, and TAL effector nucleases. However this technology supersedes all other methods for genetic modification. This RNA-guided CRISPR-Cas system is being rapidly developed with enhanced functionalities for better use and greater possibilities in biological research. In this review, we discuss and sum up the application of this simple yet powerful tool of CRISPR-Cas system for crop improvement with recent advancement in this technology.

Induced mutagenesis: An underutilised component in the integrated management of aphid pests in sub-Saharan Africa

Aphids (Hemiptera: Aphididae) are important agricultural pests in sub-Saharan Africa. These pests are primarily controlled by the use of synthetic insecticides, which has consequently led to the emergence of insecticide-resistant aphid populations as well as negative impacts on non-target organisms. Resistant crop varieties offer a sustainable approach to manage aphids. Despite regions of sub-Saharan Africa suffering greater crop losses due to pests, there is only limited availability of genetic engineering and other modern plant breeding technologies. Here we consider whether induced mutagenesis can contribute to the sustainable management of aphid pests or whether the lack of research in this area reflects the limitations of this approach.

A genome-wide association study unveils key chromosome regions involved in determining sodium accumulation in wheat under conditions of low potassium supply

Improving nutrient use efficiency is an important objective in modern breeding programs. In this work, we examined potassium utilization efficiency (KUtE) and traits potentially related to it in a formerly genotyped, geographically diverse population of bread wheat (Triticum aestivum) under low potassium supply conditions. Our results unveil the existence of a large variation within the population for the traits examined. A genome-wide association study, based on a single-locus model, identified 15 markers associated with some of those traits. No marker-trait association was found using that tool for KUtE, but the use of a multi-locus approach suggested that additional marker-trait associations may be present, including whole-plant KUtE. Besides, the existence of a significant correlation between KUtE and sodium accumulation in shoots suggests the possibility of pyramiding traits associated with sodium homeostasis to improve this efficiency. In this regard, two discrete regions mapped on the long arm of chromosome 1B (1BLA and 1BLB) were associated with variation in sodium accumulation as detected with the single and multi-locus models used. Further exploration of the potential function of the genes placed in these regions, and their expression patterns, suggested likely candidates for this trait. Among the candidates placed in 1BLA region, we found TraesCS1B02G370500, TraesCS1B02G370600, and TraesCS1B02G370900, coding for putative Calcineurin B like proteins. Region 1BLB contain TraesCS1B02G388900 coding for a kinase and other genes including TraesCS1B02G389700, TraesCS1B02G389800 and TraesCS1B02G389900 coding for Ethylene-responsive transcription factors. The information here provided can be useful in breeding programs aimed to manipulate sodium accumulation through marker-assisted selection.

Root Breeding in the Post-Genomics Era: From Concept to Practice in Apple.

The development of rootstocks with a high-quality dwarf-type root system is a popular research topic in the apple industry. However, the precise breeding of rootstocks is still challenging, mainly because the root system is buried deep underground, roots have a complex life cycle, and research on root architecture has progressed slowly. This paper describes ideas for the precise breeding and domestication of wild apple resources and the application of key genes. The primary goal of this research is to combine the existing rootstock resources with molecular breeding and summarize the methods of precision breeding. Here, we reviewed the existing rootstock germplasm, high-quality genome, and genetic resources available to explain how wild resources might be used in modern breeding. In particular, we proposed the ‘from genotype to phenotype’ theory and summarized the difficulties in future breeding processes. Lastly, the genetics governing root diversity and associated regulatory mechanisms were elaborated on to optimize the precise breeding of rootstocks.

Oil Palm Breeding in the Modern Era: Challenges and Opportunities.

Oil palm, a cross-pollinated crop with long generation time, poses a lot of challenges in achieving sustainable oil palm with high yield and quality. The African oil palm (Elaeis guineensis Jacq.) is the most productive and versatile oil-yielding crop in the world, producing more than any other oil-yielding crop. Despite recent challenges, such as stress tolerance, superior oil quality, disease tolerance, and the need for new market niches, there is a growing need to explore and develop new varieties with high yield potential and the genetic diversity required to maintain oil palm yield stability. Breeding is an indispensable part of producing high-quality planting materials to increase oil palm yield. Biotechnological technologies have transformed conventional plant breeding approaches by introducing novel genotypes for breeding. Innovative pre-breeding and breeding approaches, such as identifying candidate genes in wild or land races using genomics tools, can pave the way for genetic improvement in oil palm. In this review, we highlighted the modern breeding tools, including genomics, marker-assisted breeding, genetic engineering, and genome editing techniques in oil palm crops, and we explored certain concerns connected to the techniques and their applications in practical breeding.

Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations.

Large plant breeding populations are traditionally a source of novel allelic diversity and are at the core of selection efforts for elite material. Finding rare diversity requires a deep understanding of biological interactions between the genetic makeup of one genotype and its environmental conditions. Most modern breeding programs still rely on linear regression models to solve this problem, generalizing the complex genotype by phenotype interactions through manually constructed linear features. However, the identification of positive alleles vs. background can be addressed using deep learning approaches that have the capacity to learn complex nonlinear functions for the inputs. Machine learning (ML) is an artificial intelligence (AI) approach involving a range of algorithms to learn from input data sets and predict outcomes in other related samples. This paper describes a variety of techniques that include supervised and unsupervised ML algorithms to improve our understanding of nonlinear interactions from plant breeding data sets. Feature selection (FS) methods are combined with linear and nonlinear predictors and compared to traditional prediction methods used in plant breeding. Recent advances in ML allowed the construction of complex models that have the capacity to better differentiate between positive alleles and the genetic background. Using real plant breeding program data, we show that ML methods have the ability to outperform current approaches, increase prediction accuracies, decrease the computing time drastically, and improve the detection of important alleles involved in qualitative or quantitative traits.

Shift in beneficial interactions during crop evolution.

Plant domestication can be viewed as a form of co‐evolved interspecific mutualism between humans and crops for the benefit of the two partners. Here, we ask how this plant–human mutualism has, in turn, impacted beneficial interactions within crop species, between crop species, and between crops and their associated microbial partners. We focus on beneficial interactions resulting from three main mechanisms that can be promoted by manipulating genetic diversity in agrosystems: niche partitioning, facilitation, and kin selection. We show that a combination of factors has impacted either directly or indirectly plant–plant interactions during domestication and breeding, with a trend toward reduced benefits arising from niche partitioning and facilitation. Such factors include marked decrease of molecular and functional diversity of crops and other organisms present in the agroecosystem, mass selection, and increased use of chemical inputs. For example, the latter has likely contributed to the relaxation of selection pressures on nutrient‐mobilizing traits such as those associated to root exudation and plant nutrient exchanges via microbial partners. In contrast, we show that beneficial interactions arising from kin selection have likely been promoted since the advent of modern breeding. We highlight several issues that need further investigation such as whether crop phenotypic plasticity has evolved and could trigger beneficial interactions in crops, and whether human‐mediated selection has impacted cooperation via kin recognition. Finally, we discuss how plant breeding and agricultural practices can help promoting beneficial interactions within and between species in the context of agroecology where the mobilization of diversity and complexity of crop interactions is viewed as a keystone of agroecosystem sustainability.

Genomics Enabled Breeding Strategies for Major Biotic Stresses in Pea (Pisum sativum L.).

Pea (Pisum sativum L.) is one of the most important and productive cool season pulse crops grown throughout the world. Biotic stresses are the crucial constraints in harnessing the potential productivity of pea and warrant dedicated research and developmental efforts to utilize omics resources and advanced breeding techniques to assist rapid and timely development of high-yielding multiple stress-tolerant–resistant varieties. Recently, the pea researcher’s community has made notable achievements in conventional and molecular breeding to accelerate its genetic gain. Several quantitative trait loci (QTLs) or markers associated with genes controlling resistance for fusarium wilt, fusarium root rot, powdery mildew, ascochyta blight, rust, common root rot, broomrape, pea enation, and pea seed borne mosaic virus are available for the marker-assisted breeding. The advanced genomic tools such as the availability of comprehensive genetic maps and linked reliable DNA markers hold great promise toward the introgression of resistance genes from different sources to speed up the genetic gain in pea. This review provides a brief account of the achievements made in the recent past regarding genetic and genomic resources’ development, inheritance of genes controlling various biotic stress responses and genes controlling pathogenesis in disease causing organisms, genes/QTLs mapping, and transcriptomic and proteomic advances. Moreover, the emerging new breeding approaches such as transgenics, genome editing, genomic selection, epigenetic breeding, and speed breeding hold great promise to transform pea breeding. Overall, the judicious amalgamation of conventional and modern omics-enabled breeding strategies will augment the genetic gain and could hasten the development of biotic stress-resistant cultivars to sustain pea production under changing climate. The present review encompasses at one platform the research accomplishment made so far in pea improvement with respect to major biotic stresses and the way forward to enhance pea productivity through advanced genomic tools and technologies.

Genetic diversity analysis among late leaf spot and rust resistant and susceptible germplasm in groundnut (Arachis hypogea L.)

Abstract Groundnut is an important oilseed crops with high nutritional values. Yield of groundnut is constrained owing to diverse biotic and abiotic factors. Amongst biotic stresses two foremost foliar fungal diseases viz., late leaf spot and rust are universal and sparingly significant. Both conventional and modern breeding methods may be applied for improvement of groundnut. The current investigation was carried out to recognize genetic variability present among different groundnut germplasm with the use of morphological characters and SSR markers with the screening of resistant to leaf spot and rust resistant genotypes. In morphological examination, the analysis of variance divulged highly substantial differences among 48 germplasm lines. Initial screening of Germplasm was tried with the use of 125 SSR markers. But, based on banding pattern, 21 markers were found to be the best and selected for amplification of whole set of genotypes. Out of 21 markers, 16 were found to be highly polymorphic. Highest PIC value (0.8196) was detected for marker S021 representing 81% diversity. SSR Markers viz., PM42, PM204, PM377, S052, S076, S078 and S078 have PIC value more than 0.5, confirms their superiority in detection of polymorphism among studied germplasm lines. UPGMA analysis assemblage all the germplasm lines into three major clusters. Most of the foliar disease resistant genotypes were grouped together with higher genetic resemblance. Polymorphic markers identified in the study may be utilized further for molecular diversity analysis and the identified resistant genotypes may be employed further for the improvement of the crop.

Herbivory Protection via Volatile Organic Compounds Is Influenced by Maize Genotype, Not Bacillus altitudinis-Enriched Bacterial Communities.

Belowground, plants interact with beneficial soil microbes such as plant growth-promoting rhizobacteria (PGPR). PGPR are rhizosphere bacteria that colonize roots and elicit beneficial effects in plants such as improved plant growth, pathogen resistance, abiotic stress tolerance, and herbivore protection. Treatment of plants with PGPR has been shown to trigger the emission of volatile organic compounds (VOCs). Volatile emissions can also be triggered by herbivory, termed herbivore-induced plant volatiles (HIPV), with important ramifications for chemical-mediated plant and insect interactions. Much of our current understanding of PGPR and herbivore-induced volatiles is based on studies using one plant genotype, yet domestication and modern breeding has led to the development of diverse germplasm with altered phenotypes and chemistry. In this study, we investigated if volatile emissions triggered by PGPR colonization and herbivory varies by maize genotype and microbial community assemblages. Six maize genotypes representing three decades of crop breeding and two heterotic groups were used, with four microbiome treatments: live or sterilized soil, with or without a Bacillus inoculant. Soil sterilization was used to delay microbiome establishment, resulting in low-diversity treatments. At planting, maize seeds were inoculated with PGPR Bacillus altitudinis AP-283 and grown under greenhouse conditions. Four weeks post planting, plants were subjected to feeding by third instar Helicoverpa zea (Lepidoptera: Noctuidae) larvae. Volatiles were collected using solid phase microextraction and analyzed with gas chromatography-mass spectrometry. Illumina NovaSeq 16S rRNA amplicon sequencing was carried out to characterize the rhizosphere microbiome. Maize genotype significantly influenced total volatile emissions, and relative abundance of volatile classes. We did not document a strong influence of microbe treatment on plant VOC emissions. However, inoculating plants with PGPR improved plant growth under sterile conditions. Taken together, our results suggest that genotypic variation is the dominant driver in HIPV composition and individual HIPV abundances, and any bacterial-mediated benefit is genotype and HIPV-specific. Therefore, understanding the interplay of these factors is necessary to fully harness microbially-mediated benefits and improve agricultural sustainability.

Identification and functional prediction of long non-coding RNAs related to skeletal muscle development in Duroc pigs.

ObjectiveThe growth of pigs involves multiple regulatory mechanisms, and modern molecular breeding techniques can be used to understand the skeletal muscle growth and development to promote the selection process of pigs. This study aims to explore candidate lncRNAs and mRNAs related to skeletal muscle growth and development among Duroc pigs with different average daily gain (ADG).MethodsA total of 8 pigs were selected and divided into two groups: H group (high-ADG) and L group (low-ADG). And followed by whole transcriptome sequencing to identify differentially expressed (DE) lncRNAs and mRNAs.ResultsIn RNA-seq, 703 DE mRNAs (263 up-regulated and 440 down-regulated) and 74 DE lncRNAs (45 up-regulated and 29 down-regulated) were identified. In addition, 1,418 Transcription factors (TFs) were found. Compared with mRNAs, lncRNAs had fewer exons, shorter transcript length and open reading frame length. DE mRNAs and DE lncRNAs can form 417 lncRNA-mRNA pairs (antisense, cis and trans). DE mRNAs and target genes of lncRNAs were enriched in cellular processes, biological regulation, and regulation of biological processes. In addition, quantitative trait locus (QTL) analysis was used to detect the functions of DE mRNAs and lncRNAs, the most of DE mRNAs and target genes of lncRNAs were enriched in QTLs related to growth traits and skeletal muscle development. In single-nucleotide polymorphism/insertion-deletion (SNP/INDEL) analysis, 1,081,182 SNP and 131,721 INDEL were found, and transition was more than transversion. Over 60% of percentage were skipped exon events among alternative splicing events.ConclusionThe results showed that different ADG among Duroc pigs with the same diet maybe due to the DE mRNAs and DE lncRNAs related to skeletal muscle growth and development.

Downregulation of a gibberellin 3β‐hydroxylase enhances photosynthesis and increases seed yield in soybean

Seed yield, determined mainly by seed numbers and seed weight, is the primary target of soybean breeding. Identifying the genes underlying yield-related traits is of great significance. Through joint linkage mapping and a genome-wide association study for 100-seed weight, we cloned GmGA3ox1, a gene encoding gibberellin 3β-hydroxylase, which is the key enzyme in the gibberellin synthesis pathway. Genome resequencing identified a beneficial GmGA3ox1 haplotype contributing to high seed weight, which was further confirmed by soybean transformants. CRISPR/Cas9-generated gmga3ox1 mutants showed lower seed weight, but promoted seed yield by increasing seednumbers. The gmga3ox1 mutants reduced gibberellin biosynthesis while enhancing photosynthesis. Knockout of GmGA3ox1 resulted in the upregulation of numerous photosynthesis-related genes, particularly the GmRCA family encoding ribulose-1,5-bispho-sphate carboxylase-oxygenase (Rubisco) activases. The basic leucine zipper transcription factors GmbZIP97 and GmbZIP159, which were both upregulated in the gmga3ox1 mutants and induced by the gibberellin synthesis inhibitor uniconazole, could bind to the promoter of GmRCAβ and activate its expression. Analysis of genomic sequences with over 2700 soybean accessions suggested that GmGA3ox1 is being gradually utilized in modern breeding. Our results elucidated the important role of GmGA3ox1 in soybean yield. These findings reveal important clues for future high-yield breeding in soybean and other crops.

Indigenous African Orphan Legumes: Potential for Food and Nutrition Security in SSA

In Sub-Saharan Africa (SSA), both crop production and the hidden hunger index (HHI, a combination of zinc, iron, and vitamin A deficiency), continue to be worse than the rest of the world. Currently, 31 out of 36 countries of SSA show the highest HHI. At the same time, several studies show climate change as a major constraint to agriculture productivity and a significant threat to SSA food security without significant action regarding adaptation. The food security of SSA is dependent on a few major crops, with many of them providing largely only an energy source in the diet. To address this, crop diversification and climate-resilient crops that have adaptation to climate change can be used and one route toward this is promoting the cultivation of African orphan (neglected or underutilized) crops. These crops, particularly legumes, have the potential to improve food and nutrition security in SSA due to their cultural linkage with the regional food habits of the communities, nutritionally rich food, untapped genetic diversity, and adaptation to harsh climate conditions and poor marginal soils. Despite the wide distribution of orphan legumes across the landscape of SSA, these important crop species are characterized by low yield and decreasing utilization due in part to a lack of improved varieties and a lack of adequate research attention. Genomic-assisted breeding (GAB) can contribute to developing improved varieties that yield more, have improved resilience, and high nutritional value. The availability of large and diverse collections of germplasm is an essential resource for crop improvement. In the Genetic Resources Center of the International Institute of Tropical Agriculture, the collections of orphan legumes, particularly the Bambara groundnut, African yambean, and Kersting's groundnut, have been characterized and evaluated for their key traits, and new collections are being undertaken to fill gaps and to widen the genetic diversity available to underpin breeding that can be further utilized with GAB tools to develop faster and cost-effective climate-resilient cultivars with a high nutrition value for SSA farmers. However, a greater investment of resources is required for applying modern breeding to orphan legume crops if their full potential is to be realized.

Ancient Caucasian Wheats: A Contribution for Sustainable Diets and Food Diversity.

Through the centuries, the domestication and modern breeding of wheat led to a significant loss of genetic variation in the cultivated gene pool with a consequent decrease in food diversity. Current trends towards low-input and sustainable agriculture call for the revitalization and exploitation of ancient wheats, which represent a reservoir of biodiversity useful to ensure sustainable wheat production in the context of climate change and low-input farming systems. Ancient Caucasian wheat species, such as the hulled wheats Triticum timopheevii (tetraploid AuAuGG) and Triticum zhukovskyi (hexaploid AuAuAmAmGG), are still grown to a limited extent in the Caucasus for the production of traditional foods. These Caucasian wheats were grown in Italy and were analyzed for physical, nutritional and technological characteristics and compared to durum wheat. Both Caucasian species revealed a high protein content (on average 18.5%) associated with a low gluten index, mainly in T. zhukovskyi, and test weight values comparable to commercial wheats. The total antioxidant capacity was revealed to be the double of that in durum wheat, suggesting the use of ancient Caucasian wheats for the production of healthy foods. Finally, the technological and rheological results indicated that Caucasian wheats could be potential raw material for the formulation of flat breads, biscuits and pasta.

Prediction of NB-LRR resistance genes based on full-length sequence homology.

SUMMARYThe activation of plant immunity is mediated by resistance (R)‐gene receptors, also known as nucleotide‐binding leucine‐rich repeat (NB‐LRR) genes, which in turn trigger the authentic defense response. R‐gene identification is a crucial goal for both classic and modern plant breeding strategies for disease resistance. The conventional method identifies NB‐LRR genes using a protein motif/domain‐based search (PDS) within an automatically predicted gene set of the respective genome assembly. PDS proved to be imprecise since repeat masking prior to automatic genome annotation unwittingly prevented comprehensive NB‐LRR gene detection. Furthermore, R‐genes have diversified in a species‐specific manner, so that NB‐LRR gene identification cannot be universally standardized. Here, we present the full‐length Homology‐based R‐gene Prediction (HRP) method for the comprehensive identification and annotation of a genome's R‐gene repertoire. Our method has substantially addressed the complex genomic organization of tomato (Solanum lycopersicum) NB‐LRR gene loci, proving to be more performant than the well‐established RenSeq approach. HRP efficiency was also tested on three differently assembled and annotated Beta sp. genomes. Indeed, HRP identified up to 45% more full‐length NB‐LRR genes compared to previous approaches. HRP also turned out to be a more refined strategy for R‐gene allele mining, testified by the identification of hitherto undiscovered Fom‐2 homologs in five Cucurbita sp. genomes. In summary, our high‐performance method for full‐length NB‐LRR gene discovery will propel the identification of novel R‐genes towards development of improved cultivars.

Genomic insights on the contribution of introgressions from Xian/Indica to the genetic improvement of Geng/Japonica rice cultivars

Hybridization between Xian/indica (XI) and Geng/japonica (GJ) rice combined with utilization of plant ideotypes has greatly contributed to yield improvements in modern GJ rice in China over the past 50 years. To explore the genomic basis of improved yield and disease resistance in GJ rice, we conducted a large-scale genomic landscape analysis of 816 elite GJ cultivars representing multiple eras of germplasm from China. We detected consistently increasing introgressions from three XI subpopulations into GJ cultivars since the 1980s and found that the XI genome introgressions significantly increased the grain number per panicle (GN) and decreased the panicle number per plant. This contributed to the improvement of plant type during modern breeding, changing multi-tiller plants to moderate tiller plants with a large panicle size and increasing the blast resistance. Notably, we found that key gene haplotypes controlling plant architecture, yield components, and pest and disease resistance, including IPA1, SMG1, DEP3, Pib, Pi-d2, and Bph3, were introduced from XI rice by introgression. By GWAS analysis, we detected a GN-related gene Gnd5, which had been consistently introgressed from XI into GJ cultivars since the 1980s. Gnd5 is a GRAS transcription factor gene, and Gnd5 knockout mutants showed a significant reduction in GN. The estimated genetic effects of genes varied among different breeding locations, which explained the distinct introgression levels of XI gene haplotypes, including Gnd5, DEP3, etc., to these GJ breeding pedigrees. These findings reveal the genomic contributions of introgressions from XI to the trait improvements of GJ rice cultivars and provide new insights for future rice genomic breeding.

Calculation Method of Logistics Energy Consumption in Agricultural Product Supply Chain Based on Structural Equation Model

The ecological value chain agricultural products in China are mainly produced by scattered farmers. Due to the lack of modern planting and breeding techniques for small-scale scattered farmers, it is difficult to obtain scale effects, and the benefit-cost ratio is generally low. Their own production, supply, and marketing integration organization can only enter the market separately, which is difficult to adapt to market needs, and often bear great market risks. In the circulation link, the agricultural product logistics management level in China is low and logistics losses are huge. This research attempts to conduct a theoretical analysis and discussion on the integration of the ecological agricultural product supply chain in China based on the enterprise theory. At the same time, we conduct an empirical analysis of the relationship between supply chain integration and performance from the perspective of logistics and build agricultural product supply chain integration with the company’s logistics capabilities as the center. We perform hypothesis model, collect data through survey methods, use quantitative analysis and path analysis methods to test the hypothesis model, explore the relationship between supply chain management and agricultural product logistics capabilities, and corporate competitiveness, to provide the empirical support for the introduction of supply chain management in the agriculture in China.

Estimation of the yield structure elements of the collection winter durum wheat samples in the south of the Rostov region

Introduction and methodology. The value of the initial material is primarily determined by the tasks of modern breeding process, collection material playing an important role in it. The purpose of the current study was to estimate the initial material of winter durum wheat according to their yield structure elements in the south of the Rostov region. The objects of research were 159 winter durum wheat samples among which there were 69 of domestic breeding and 90 of foreign one.Results. The study has shown that in 2019–2020 grain productivity of the collection samples ranged from 227.9 g/m2 to 735.9 g/m2. All studied samples were divided into three groups according to the trait ‘productive stand’ (number of productive stems per 1 m2). There were 17.6% of samples with a small value of the trait (201–400 pcs./m2); with a mean value of the trait (401–600 pcs./m2) there were 72.3% of samples and with a large value of the trait (601–800 pcs./m2) there were 10.1% of samples. According to the trait ‘plant height’ more than a half of the samples (57.0%) belonged to the ‘semi-dwarf’ group (61–85 cm). Large part (70%) of winter durum wheat samples formed ‘length of head’ in the range of 6.5–7.5 cm. In 2019–2020, number of spikelets per head ranged from 17 pcs. up to 24 pcs. The trait ‘kernel weight per head’ of the studied collection samples varied from 0.77 g to 2.08 g, all the samples had different kernel sizes. The trait ‘number of kernels per head’ varied from 22 pcs. (the variety ‘Novinka 4’) up to 51 pcs. (the sample ‘1015/16’). The trait ‘1000-kernel weight’ in the trial ranged from 23.9 g to 49.0 g, the standard variety had 34.1 g. The productivity of the collection samples was formed due to 1000-kernel weight and kernel weight per head, the correlation coefficients for these productivity elements being r = 0.45 ± 0.07; r = 0.35 ± 0.07.

TaIAA15 genes regulate plant architecture in wheat

Bread wheat (Triticum aestivum L.) is one of the most important staple crops worldwide. The phytohormone auxin plays critical roles in the regulation of plant growth and development. However, only a few auxin-related genes have been genetically demonstrated to be involved in the control of plant architecture in wheat thus far. In this study, we characterized an auxin-related gene in wheat, TaIAA15, and found that its ectopic expression in rice decreased the plant height and increased the leaf angle. Correlation analysis indicated that TaIAA15-3B was associated with plant height (Ph), spike length (SL) and 1 000-grain weight (TGW) in wheat, and Hap-II of TaIAA15-3B was the most favored allele and selected by modern breeding in China. This study sheds light on the role of auxin signaling on wheat plant architecture as well as yield related traits.

Niger improvement and production in Ethiopia: progress and major challenges

Niger crop is one of the under-utilized oil crops, but very crucial in Ethiopian diets and export system. Despite its importance, many problems have to be addressed through research. Starting from the beginning when a multidisciplinary approach of niger breeding started during the late 1960s century, some efforts have been made to overcome the major limitations of niger production and productivity in Ethiopia. However, there is a minimum application of modern breeding, and many challenges persist. The major challenges that face the niger breeding and production in Ethiopia are the nature of the crop (self-incompatibility), lodging and shattering, low yielding potential, susceptibility to pests, poor agronomic practices, less attention, and low inputs and modern farm technology. These challenges are retarding the breeding and also the production system of the niger. To make niger research more impactful on these challenges, exploiting and the use of novel research techniques which may include gene identification and transformation are very important. Moreover, genomic assisted breeding holds tremendous potential for improving productivity and provides better information for the breeding of niger. This review was provided with a brief explanation of the status of niger breeding and biotechnology aspects and the major challenges facing niger research and production in Ethiopia. Besides, the gap of research was forwarded in this document.