Genotype-by-Environment Interaction in Crop Improvement

Kang, Manjit S.; Prabhakaran, V. T.; Mehra, Reena

doi:10.1007/978-94-007-1040-5_23

Cited by 15 publications

(16 citation statements)

References 148 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Resource availability largely affects yield potential in field crops (Nasseer et al, 2016). Yield and yield component traits are often affected by high environment × genotype interactions, resulting in changes in relative genotype performance and stability across environments (Allard & Bradshaw, 1964;El-Soda, Malosetti, Zwaan, Koornneef, & Aarts, 2014;Kang, Prabhakaran, & Mehra, 2004). Environment × allele interactions were observed for four of the six QTL in the present study.…”

Section: Discussionsupporting

confidence: 46%

Improving hexaploid spring wheat by introgression of alleles for yield component traits from durum wheat

et al. 2020

View full text Add to dashboard Cite

Hexaploid bread wheat (Triticum aestivum L.) and tetraploid durum wheat (Triticum durum Desf.) have been cultivated in similar geographic areas for ∼10,000 yr. The crossing barrier caused by ploidy difference suggests that different favorable alleles for yield-related traits may have accumulated in the two crops. Previous work allowed identification of favorable alleles at six quantitative trait loci (QTL) from durum wheat in a recombinant inbred line (RIL) population from a cross of 'Mountrail' durum and 'Choteau' spring wheat. The purpose of this study was to determine the impact of six durum alleles at yield component QTL in several spring wheat backgrounds. Three spring wheat cultivars were crossed with six hexaploid lines derived from the original Choteau/Mountrail cross to generate RILs. Heterozygous RILs, containing both the durum and the bread wheat alleles, were identified for each of the QTL. The heterozygous RILs were used to develop near-isogenic lines (NILs) for the six introgressed QTL. The NILs were grown in five environments under irrigated and rainfed conditions in Montana in 2017 and 2018. A durum allele QTL on chromosome 3B resulted in increased kernel weight in all five environments. The introgressed durum QTL alleles caused pleiotropic interactions among yield component traits. Environment and genetic background significantly affected the stability of introgressed QTL on yield components for four of the six QTL. Results suggest that alleles from durum may be useful for yield improvement of hexaploid spring wheat. However, interrelationships of yield components, pleiotropic interactions, and environment will affect the value of durum wheat alleles in hexaploid wheat backgrounds.

show abstract

Section: Discussionsupporting

confidence: 46%

Improving hexaploid spring wheat by introgression of alleles for yield component traits from durum wheat

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Frequency distribution of all studied traits displayed characteristics of continuous variation, and revealed transgressive segregation in both directions, thereby suggesting the contribution of favorable alleles from both parents for these component traits. Understanding the interaction between genotypes and environments is crucial in crop improvement programs because a substantial genotype × environment interaction can greatly impair selection of superior genotypes in crop development efforts (Kang, Prabhakaran, & Mehra, 2004). Analysis of variance results suggest that both damage rating and larval weight evaluated during the vegetative phase of plant growth, in general, are affected by the environment in which the genotypes are evaluated.…”

Section: Discussionmentioning

confidence: 99%

Development of a dense genetic map and QTL analysis for pod borer Helicoverpa armigera (Hübner) resistance component traits in chickpea (Cicer arietinum L.)

et al. 2020

View full text Add to dashboard Cite

Genetic enhancement for resistance against the pod borer, Helicoverpa armigera is crucial for enhancing production and productivity of chickpea. Here we provide some novel insights into the genetic architecture of natural variation in H. armigera resistance in chickpea, an important legume, which plays a major role in food and nutritional security. An interspecific recombinant inbred line (RIL) population developed from a cross between H. armigera susceptible accession ICC 4958 (Cicer arietinum) and resistant accession PI 489777 (Cicer reticulatum) was evaluated for H. armigera resistance component traits using detached leaf assay and under field conditions. A high‐throughput AxiomCicerSNP array was utilized to construct a dense linkage map comprising of 3,873 loci and spanning a distance of 949.27 cM. Comprehensive analyses of extensive genotyping and phenotyping data identified nine main‐effect QTLs and 955 epistatic QTLs explaining up to 42.49% and 38.05% phenotypic variance, respectively, for H. armigera resistance component traits. The main‐effect QTLs identified in this RIL population were linked with previously described genes, known to modulate resistance against lepidopteran insects in crop plants. One QTL cluster harbouring main‐effect QTLs for three H. armigera resistance component traits and explaining up to 42.49% of the phenotypic variance, was identified on CaLG03. This genomic region, after validation, may be useful to improve H. armigera resistance component traits in elite chickpea cultivars.

show abstract

“…Significant interactions between genotypes and environments for peanut yield and yield components have been reported . The effects of G × E interactions require that new lines be evaluated in multienvironment trials across a set of sites, years, or both to assess their yield performance and stability (Kang, 1990). This assessment is the primary basis for identifying the best performers and their range of adaptability, both temporally and spatially.…”

mentioning

confidence: 99%

Yield Improvement and Genotype × Environment Analyses of Peanut Cultivars in Multilocation Trials in West Africa

et al. 2014

View full text Add to dashboard Cite

Yield trials are used in plant breeding programs to evaluate the yield potential and stability of selected lines. The objectives of this study were to evaluate yield potential, genotype × environment interactions, and stability of peanut genotypes for the savannah region of West Africa. Twenty peanut (Arachis hypogaea L.) genotypes were tested at two sites in Ghana and two sites in Burkina Faso in 2010 and 2011. The experimental design was a randomized complete block design with three replicates. Genotype, location, and genotype × environment interactions were highly significant, indicating genetic variability among genotypes across changing environments. Stability analyses showed that genotypes ICGV‐IS 96814, ICGV (FDRS)‐20 × F‐MIX 39, Gusie Balin (92099), ICGV‐IS 92093, and ICGV‐IS 92101 had broad adaptability, with above‐average yield across sites and a regression coefficient close to 1.0. Genotype ICGV‐IS 96814 produced the highest pod yield (1760 kg ha−1) across all environments and had a regression coefficient close to unity (b = 1.06). Therefore, genotype ICGV‐IS 96814 is less responsive to varied environmental and soil conditions. However, the released cultivar Nkatesari was considered equivalent in some respects because it had pod yield equal to ICGV‐IS 96814 but with a higher regression coefficient. High‐yielding cultivars, mostly from ICRISAT‐derived crosses, yielded nearly 80% more than the three farmer check cultivars TS 32–1, Doumbala, and Chinese, which had pod yields from 890 to 980 kg ha−1. The higher‐yielding cultivars had longer life cycle, greater leaf spot resistance, and higher partitioning than the farmer check cultivars.

show abstract

Genotype-by-Environment Interaction in Crop Improvement

Cited by 15 publications

References 148 publications

Improving hexaploid spring wheat by introgression of alleles for yield component traits from durum wheat

Improving hexaploid spring wheat by introgression of alleles for yield component traits from durum wheat

Development of a dense genetic map and QTL analysis for pod borer Helicoverpa armigera (Hübner) resistance component traits in chickpea (Cicer arietinum L.)

Yield Improvement and Genotype × Environment Analyses of Peanut Cultivars in Multilocation Trials in West Africa

Contact Info

Product

Resources

About