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Blum, A.; Klueva, Natalya; Nguyen, Henry T.

doi:10.1023/a:1004083305905

Cited by 142 publications

(25 citation statements)

References 11 publications

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“…Significance of only residual [m] effects for CL and GRPE under both environments while for ELA, BPP and HGW in drought-stressed conditions and for GPER in non-stressed environments suggested the potential role of environment in the inheritance of these traits. These findings are in agreement to the observations of Bernardo et al (1992), Blum et al (2001), Aslam et al (2006), Jabeen et al (2008) and Taheri et al (2011). Additive-dominance along with epistatic (additive-additive) interaction effects were recorded for ELA under non-stressed environments.…”

Section: Traitsupporting

confidence: 92%

Genetics of drought tolerance at seedling and maturity stages in Zea mays L.

Khan

Ahsan

Naveed

et al. 2016

Span. j. agric. res.

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Shortage of irrigation water at critical growth stages of maize is limiting its production worldwide. Breeding drought-tolerant cultivars is one possible solution while identification of potential genotypes is crucial for genetic improvement. To assess genetic variation for seedling-stage drought tolerance, we tested 40 inbred lines in a completely randomized design under glasshouse conditions. From these, two contrasting inbred lines were used to develop six basic generations (P1, P2, F1, F2, BC1F1, BC2F2). These populations were then evaluated in a triplicated factorial randomized complete block design under non-stressed and drought-stressed conditions. For statistical analyses, a nested block design was employed to ignore the replication effects. Significant differences (p≤0.01) were recorded among the genotypes for investigated seedling-traits. Absolute values of fresh root length, fresh root weight, and dry root weight lead to select two genotypes, one tolerant (WFTMS) and one susceptible (Q66). Estimates of heritability, genetic advance, and genotypic correlation coefficients were higher and significant for most of the seedling-traits. Generation variance analysis revealed additive gene action. Narrow-sense heritability [F2 ≥ 65; F∞ ≥ 79] revealed the same results. Generation mean analysis signified additive genetic effects in the inheritance of cob girth, non-additive for plant height, grains per ear row and grain yield per plant, and environmental for ear leaf area, cob length, grain rows per ear, biomass per plant, and 100-grain weight under drought-stressed conditions. For conferring drought-tolerance in maize, breeders can adopt the recombinant breeding strategy to pyramid the desirable genes.

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Section: Traitsupporting

confidence: 92%

Genetics of drought tolerance at seedling and maturity stages in Zea mays L.

Khan

Ahsan

Naveed

et al. 2016

Span. j. agric. res.

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“…Abiotic stresses including high temperature, drought and waterlogging are of primary concern as they have been reported to decrease grain yield (GY) by up to 47 % (Blum et al 2001), 66 % (Lopes and Reynolds 2011) and 40 % (Araki et al 2012), respectively. GY and adaptation in wheat is determined in large part by genes regulating vernalization (Vrn) and photoperiod (Ppd) which in combination regulate timing of the reproductive phase (Dennis and Peacock 2009;Sung and Amasino 2004).…”

Section: Introductionmentioning

confidence: 99%

QTL and major genes influencing grain yield potential in soft red winter wheat adapted to the southern United States

et al. 2016

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The aim of this study was to identify quantitative trait locus (QTL) associated with grain yield (GY) in a recombinant inbred line (RIL) population from a cross between two elite soft red winter wheat (SRWW) cultivars ('Pioneer 26R61' and 'AGS2000'). The RIL population was grown from 2011 to 2014 in 12 site-year combinations throughout the southeastern US. Overall, AGS2000 was the higher yielding parental line, out-performing 26R61 in seven of the 12 environments. Mean GY for the RILs ranged from 3.39 to 7.16 t ha -1 with significant genotype, environment and genotype by environmental interaction effects. Nine stable QTL were detected for yield, explaining up to 53 % of the phenotypic variation when fit into a multiple-QTL model. The QTL with the largest effect was detected at the Vrn-B1 locus with the short vernalization winter allele from AGS2000 favorable for yield. In addition, vrn-B1 acted additively with a region on chromosome 2B near the Ppd-B1 locus, indicating that a shorter vernalization requirement combined with the Ppd-B1b allele for photoperiod sensitivity may play a key role in adaptation of SRWW to the southern US. Single nucleotide polymorphism markers linked to additional QTL on chromosomes 3A and 3B were in agreement with a previous genome-wide association study in spring wheat, confirming the importance of these regions for yield across environments and germplasm pools. Overall the stable QTL were more predictive of GY compared to individual site-year QTL, indicating that a targeted QTL approach can be utilized by breeding programs to enrich for favorable loci.Electronic supplementary material The online version of this article (

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“…Heritability for yield under stress largely depends on 2 key factors: (a) the existence of genes for drought resistance in the population, which are effective in the stress environments under which selection is performed (Blum et al, 2001), and (b) the degree of control over the homogeneity and general stress conditions in the selection nursery (Blum 2005). Because of the difficulty of choosing a few representative selection environments for a target population of environments where low yields may be caused by a number of interacting and varying abiotic stress factors, CIMMYT approached breeding for low input conditions by simulating abiotic stress factors that are important in the target environment and exposing breeding experiments to a clearly defined abiotic stress factor.…”

Section: Managed-stressed Experimentsmentioning

confidence: 99%

“…is effective in the stress environments under which selection is performed (Blum et al, 2001). Selection in stress-managed environments does not suffer from these additional problems under stress than in unmanaged environments.…”

Section: Managed-stressed Experimentsmentioning

confidence: 99%

Improvement of Selection Efficiency in Wheat Genotypes for Variable Rainfed Environments

Mohammadi¹,

Karimizadeh²,

Sabaghnia³

2016

AgricultForest

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SUMMARYMost countries in the world depend primarily on rainfed agriculture for their grain food and there are strong reasons to believe that investments in lowyielding rainfed agriculture could have large impacts on poverty reduction. Most works in crop physiology related to breeding does focus on either yield potential or yield under stressful conditions which may reverse performance in other environments. These finding may explain why past breeding programs have largely not as expected to produce an impact on subsistence agriculture in developing countries. Correlation between the same traits in two environments may be negative or positive, depending on the environment where the experiment was grown. Crop selection in natural rainfall conditions vary in different years with additional stress-managed experiments, particularly when error variance is high and heritability estimate is low, resulted in optimum cultivar selection. These cultivar, yield better than any other available cultivar in high to low rainfall conditions, moreover an economic production under severe drought stress and therefore, increased productivity in a wide range of unpredictable rainfed environments. A researcher can use improved statistical design and analysis techniques, in multienvironments information, and consider secondary traits for making selection decisions. These alternative traits should still be much simpler than the complex genes controlling ultimately yield itself under a wide range of conditions. Earliness, canopy temperature, maintaining high kernel weight and leaf senescence are considered inherent heat and drought tolerance in wheat.

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Untitled

Cited by 142 publications

References 11 publications

Genetics of drought tolerance at seedling and maturity stages in Zea mays L.

Genetics of drought tolerance at seedling and maturity stages in Zea mays L.

QTL and major genes influencing grain yield potential in soft red winter wheat adapted to the southern United States

Improvement of Selection Efficiency in Wheat Genotypes for Variable Rainfed Environments

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