Morphological and Physiological Traits Associated with Wheat Yield Increases in Mediterranean Environments

Loss, S. P.; Siddique, Kadambot H. M.

doi:10.1016/s0065-2113(08)60625-2

Cited by 355 publications

(204 citation statements)

References 147 publications

Supporting

Mentioning

185

Contrasting

Unclassified

Order By: Relevance

“…Further, genotype responses are non-linear across environments where the timing and intensity of drought differs. For example, taller lines may have stored more water-soluble carbohydrate available for re-translocation and so have a potential advantage in environments with post-anthesis drought (Loss and Siddique 1994). To deal with trait interactions, Malosetti et al (2008) have proposed an extension of the methodology presented here to accommodate multi-trait multi-environment correlations.…”

Section: Discussionmentioning

confidence: 99%

Multi-environment QTL mixed models for drought stress adaptation in wheat

et al. 2008

View full text Add to dashboard Cite

Many quantitative trait loci (QTL) detection methods ignore QTL-by-environment interaction (QEI) and are limited in accommodation of error and environment-specific variance. This paper outlines a mixed model approach using a recombinant inbred spring wheat population grown in six drought stress trials. Genotype estimates for yield, anthesis date and height were calculated using the best design and spatial effects model for each trial. Parsimonious factor analytic models best captured the variance-covariance structure, including genetic correlations, among environments. The 1RS.1BL rye chromosome translocation (from one parent) which decreased progeny yield by 13.8 g m -2 was explicitly included in the QTL model. Simple interval mapping (SIM) was used in a genome-wide scan for significant QTL, where QTL effects were fitted as fixed environmentspecific effects. All significant environment-specific QTL were subsequently included in a multi-QTL model and evaluated for main and QEI effects with non-significant QEI effects being dropped. QTL effects (either consistent or environment-specific) included eight yield, four anthesis, and six height QTL. One yield QTL co-located (or was linked) to an anthesis QTL, while another co-located with a height QTL. In the final multi-QTL model, only one QTL for yield (6 g m -2 ) was consistent across environments (no QEI), while the remaining QTL had significant QEI effects (average size per environment of 5.1 g m -2 ). Compared to single trial analyses, the described framework allowed explicit modelling and detection of QEI effects and incorporation of additional classification information about genotypes.

show abstract

Section: Discussionmentioning

confidence: 99%

Multi-environment QTL mixed models for drought stress adaptation in wheat

et al. 2008

View full text Add to dashboard Cite

show abstract

“…Indeed, the elaboration of yield is dependent on the number of spikelets per spike and on post-fertilization grain filling processes. These mechanisms are known to be dependent on environmental factors (Mozafar and Oertli, 1990;Loss and Siddique, 1994;Voltas et al, 1999;Savin et al, 1996;Savin et al, 1997;Schelling et al, 2003;Samarah, 2005). Therefore, the expression of QTL involved in the determination of yield QTL analysis in barley X Lacaze et al will be highly dependent on environmental factors; and hence, the additive effect at the QTL will vary across environments.…”

Section: Discussionmentioning

confidence: 99%

Genetics of phenotypic plasticity: QTL analysis in barley, Hordeum vulgare

2008

View full text Add to dashboard Cite

Phenotypic plasticity is the variation in phenotypic traits produced by a genotype in different environments. In contrast, environmental canalization is defined as the insensitivity of a genotype's phenotype to variation in environments. Despite the extensive literature on the evolutionary significance and potential genetic mechanisms driving plasticity and canalization, few studies tried to unravel the genetic basis of this phenomenon. Using both simulations and real data from barley (Hordeum vulgare), we used QTL mapping to obtain insights into the genetics of phenotypic plasticity. We explored two ways of quantifying phenotypic plasticity, namely the phenotypic variance across environments and the Finlay-Wilkinson's regression slope. Each relates to a different concept of stability. Through QTL detection with real and simulated data, we show that each measure of plasticity detects specific types of plasticity QTL. Most of the plasticity QTLs were detected in the data set with the lowest number of environments. All plasticity QTL co-located with loci showing QTL Â E interaction and there were no QTL that only affected plasticity. The number of environments that are considered and their homogeneity is a key to interpret the genetic control of phenotypic plasticity. Regulatory pathways of plasticity may vary from one set of environments to another due to unique features of each environment. Therefore, with an increasing number of environments, it may become impossible to detect a single 'consistent' regulatory pathway for all environments.

show abstract

“…Durum wheat is primarily grown under rainfed conditions where the frequent occurrence of drought combined with heat stress is the major factor limiting grain yield (Araus et al 2002(Araus et al , 2003aCondon et al 2004). In the Mediterranean basin, durum wheat is cultivated across a number of macroenvironments that differ widely in the quantity of rainfall as well as in their thermo-pluviometrical patterns during the crop cycle (Leemans and Cramer 1991;Loss and Siddique 1994;Dunkeloh and Jacobeit 2003).…”

mentioning

confidence: 99%

Quantitative Trait Loci for Grain Yield and Adaptation of Durum Wheat (Triticum durum Desf.) Across a Wide Range of Water Availability

et al. 2008

View full text Add to dashboard Cite

Grain yield is a major goal for the improvement of durum wheat, particularly in drought-prone areas. In this study, the genetic basis of grain yield (GY), heading date (HD), and plant height (PH) was investigated in a durum wheat population of 249 recombinant inbred lines evaluated in 16 environments (10 rainfed and 6 irrigated) characterized by a broad range of water availability and GY (from 5.6 to 58.8 q ha À1 ). Among the 16 quantitative trait loci (QTL) that affected GY, two major QTL on chromosomes 2BL and 3BS showed significant effects in 8 and 7 environments, with R 2 values of 21.5 and 13.8% (mean data of all 16 environments), respectively. In both cases, extensive overlap was observed between the LOD profiles of GY and PH, but not with those for HD. QTL specific for PH were identified on chromosomes 1BS, 3AL, and 7AS. Additionally, three major QTL for HD on chromosomes 2AS, 2BL, and 7BS showed limited or no effects on GY. For both PH and GY, notable epistasis between the chromosome 2BL and 3BS QTL was detected across several environments.

show abstract

Morphological and Physiological Traits Associated with Wheat Yield Increases in Mediterranean Environments

Cited by 355 publications

References 147 publications

Multi-environment QTL mixed models for drought stress adaptation in wheat

Multi-environment QTL mixed models for drought stress adaptation in wheat

Genetics of phenotypic plasticity: QTL analysis in barley, Hordeum vulgare

Quantitative Trait Loci for Grain Yield and Adaptation of Durum Wheat (Triticum durum Desf.) Across a Wide Range of Water Availability

Contact Info

Product

Resources

About