Detection of QTLs with main, epistatic and QTL×environment interaction effects for rice grain appearance quality traits using two populations of backcross inbred lines (BILs)

Using a newly developed mapping model with endosperm and maternal main effects and QTL × environment interaction effects on quantitative quality traits of seed in cereal crops, the investigation of quantitative trait loci (QTLs) located on triploid endosperm and diploid maternal plant genomes for protein content and lysine content of rice grain under different environments was carried out with two backcross (BC1F1 and BC2F1) populations from a set of 241 recombinant inbred lines derived from an elite hybrid cross of Shanyou 63. The results showed a total of 18 QTLs to be associated with these two quality traits of rice, which were subsequently mapped on chromosomes 2, 3, 5, 6, 7, 10, 11 and 12. Three of these QTLs were also found having QTL × environment interaction effects. Therefore, the genetic main effects from QTLs located on chromosomes in endosperm and maternal plant genomes and their QTL × environment interaction effects in different environments were all important for protein and lysine contents in rice. The influence of environmental factors on the expression of some QTLs located in different genetic systems could not be ignored for both nutrient quality traits.

Download Full-text

Diallel Analysis for Inbred Lines Involving Genotype × Environment Interaction Effects on Additive-Dominance Genetic Model

Journal of Biological Sciences ◽

10.3923/jbs.2001.704.707 ◽

2001 ◽

Vol 1 (8) ◽

pp. 704-707 ◽

Cited By ~ 1

Author(s):

Abderrahmane Achouch ◽

Zhu Jun .

Keyword(s):

Genetic Model ◽

Diallel Analysis ◽

Interaction Effects ◽

Inbred Lines ◽

Environment Interaction ◽

Genotype Environment Interaction

Download Full-text

Genetic Mapping And Genomic Prediction For Northern Corn Leaf Blight (Exserohilum Turcicum (Pass.) Leonard And Suggs) Resistance

10.21203/rs.3.rs-618501/v1 ◽

2021 ◽

Author(s):

D.C. Balasundara ◽

H. C. Lohithaswa ◽

M. Rahul ◽

R. L. Ravikumar ◽

Anand Pandravada ◽

...

Keyword(s):

Genomic Prediction ◽

Combining Ability ◽

Inbred Lines ◽

Leaf Blight ◽

Environment Interaction ◽

Exserohilum Turcicum ◽

Northern Corn Leaf Blight ◽

Polymorphic Snps ◽

Corn Leaf Blight ◽

Two Populations

Abstract Background: Northern corn leaf blight (NCLB) of maize caused by Exserohilum turcicum is a serious foliar disease. Resistance to NCLB is complexly inherited and the highly significant genotype x environment interaction effect makes selection of resistant genotypes difficult through conventional breeding methods. Hence an attempt was made to identify the genomic regions associated with NCLB resistance and perform genomic selection (GS) in two F2:3 populations derived from the crosses CM212 × MAI172 (Population-1) and CM202 × SKV50 (Population-2). Results: Two populations, each comprising of 366 progenies, were phenotyped at three different locations in the disease screening nurseries. Linkage analysis using 297 polymorphic SNPs in Population-1 and 290 polymorphic SNPs in Population-2 revealed 10 linkage groups spanning 3623.88cM and 4261.92cM with an average distance of 12.40 cM and 14.9 cM, respectively. Location-wise and pooled data across locations indicated that QTL expression was population and environment specific. The genomic prediction accuracies of 0.83 and 0.79 were achieved for NCLB Population 1 and Population 2, respectively. The resistant progenies from both populations were advanced to derive inbred lines and crossed with four different testers in line x tester mating design to test for their combining ability. High overall general combining ability was exhibited by 21 inbred lines. Among crosses 48 % were assigned high overall specific combining ability status. Out of 136 single crosses, seven recorded significant positive standard heterosis over the best check for grain yield. The clustering pattern of inbred lines developed from the two populations revealed high molecular diversity. Conclusions: In this study, comparatively better genomic prediction accuracies were achieved for NCLB and the worth of F3 progenies with high genomic predictions was proved by advancing them to derive inbred lines and establishing their higher combining ability for yield and yield related traits.

Download Full-text

Mapping Fiber and Yield QTLs with Main, Epistatic, and QTL × Environment Interaction Effects in Recombinant Inbred Lines of Upland Cotton

Crop Science ◽

10.2135/cropsci2005.0056 ◽

2006 ◽

Vol 46 (1) ◽

pp. 61-66 ◽

Cited By ~ 73

Author(s):

Xinlian Shen ◽

Tianzhen Zhang ◽

Wangzhen Guo ◽

Xiefei Zhu ◽

Xiaoyang Zhang

Keyword(s):

Recombinant Inbred ◽

Upland Cotton ◽

Recombinant Inbred Lines ◽

Interaction Effects ◽

Inbred Lines ◽

Environment Interaction

Download Full-text

Genetic and Genotype × Environment Interaction Effects for Appearance Quality of Rice

Agricultural Sciences in China ◽

10.1016/s1671-2927(08)60293-x ◽

2009 ◽

Vol 8 (8) ◽

pp. 891-901 ◽

Cited By ~ 6

Author(s):

Peyman Sharifi ◽

Hamid Dehghani ◽

Ali Mumeni ◽

Mohammad Moghaddam

Keyword(s):

Interaction Effects ◽

Environment Interaction ◽

Appearance Quality ◽

Genotype Environment Interaction

Download Full-text

Genetic and genotype × environment interaction effects from embryo, endosperm, cytoplasm and maternal plant for rice grain shape traits of indica rice

Field Crops Research ◽

10.1016/s0378-4290(00)00124-6 ◽

2000 ◽

Vol 68 (3) ◽

pp. 191-198 ◽

Cited By ~ 15

Author(s):

Chunhai Shi ◽

Jun Zhu ◽

Jianguo Wu ◽

Longjiang Fan

Keyword(s):

Grain Shape ◽

Indica Rice ◽

Interaction Effects ◽

Rice Grain ◽

Environment Interaction ◽

Maternal Plant ◽

Genotype Environment Interaction

Download Full-text

Adaptability and Stability Comparisons of Inbred and Hybrid Cotton in Yield and Fiber Quality Traits

Agronomy ◽

10.3390/agronomy9090516 ◽

2019 ◽

Vol 9 (9) ◽

pp. 516 ◽

Cited By ~ 1

Author(s):

Kashif Shahzad ◽

Tingxiang Qi ◽

Liping Guo ◽

Huini Tang ◽

Xuexian Zhang ◽

...

Keyword(s):

Fiber Quality ◽

Interaction Model ◽

Genotype By Environment Interaction ◽

Inbred Lines ◽

Environment Interaction ◽

Quality Traits ◽

Fiber Quality Traits ◽

Wide Range ◽

Total Variability ◽

Stable Performance

Cotton (Gossypium hirsutum L.) is the most important fiber crop worldwide. Characterizing genotype by environment interaction (GEI) is helpful to identify stable genotypes across diverse environments. This study was conducted in six environments to compare the performance and stability of 11 inbred lines and 30 intraspecific hybrids of cotton. Analysis of variance using the additive main effects and multiplicative interaction model revealed that genotype (G), environment (E), and GEI had highly significant effects on yield and fiber quality traits. Mean comparisons among genotypes showed that most hybrids had higher means for yield and fiber quality traits than inbred genotypes. Additionally, a larger portion of the total variability in yield traits was explained by E than G and GEI. However, G and GEI combined contributed more to the total variance in fiber traits than E. The first three interaction principal components explained the majority of GEI in all traits under study. For most traits, the environments were not clustered together, implying contrasting interaction with genotypes. Stability measurements indicated that most hybrids showed more stable performance than inbred lines for all traits. The hybrids SJ48-1 × Z98-15 and L28-2 × A2-10 displayed both better performance and stability in yield and fiber quality traits. Our results show the importance of hybridization for improving cotton yield and fiber quality in a wide range of environments.

Download Full-text