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

Maccaferri, Marco; Sanguineti, Maria Corinna; Corneti, Simona; Ortega, J. L. Araus; Salem, M. Ben; Bort, J.; Deambrogio, E.; Moral, L. F. García del; Demontis, A.; El-Ahmed, A.; Maalouf, Fouad; Machlab, H.; Martos, Vanessa; Moragues, Marc; Motawaj, J.; Nachit, M. M.; Nserallah, N.; Ouabbou, H.; Royo, C.; Slama, A.; Tuberosa, Roberto

doi:10.1534/genetics.107.077297

Cited by 344 publications

(282 citation statements)

References 114 publications

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“…The screened material will be incorporated further in hybridization programs to create genetic variability against rusts. [29][30][31][32] …”

Section: Resultsmentioning

confidence: 99%

Screening For Resistance Against Rust Diseases In Advanced Wheat (Triticum Aestivum L.) Genotypes

Arain¹

2017

APAR

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Rust diseases cause significant losses to wheat production worldwide. Five newly evolved wheat genotypes along with three commercial wheat varieties were evaluated for resistance to rust diseases. Genotypes were screened at different locations in Pakistan through CDRI (Crop Diseases Research Institute) programme. The advanced genotypes and commercial varieties had different responses against rust (leaf, yellow and stem rust) infections. Two of the cross bred lines (NIA-10/8, ESW-9525) and a mutant MSH-5 showed resistance against leaf rust with desirable ACI (Average Coefficient of Infection) value (<9). The all five contesting advanced lines showed low intensity of stem rust disease with ACIs values 0.0, 0.2, 0.67, 0.13 and 5.0, respectively. However, genotypes NIA-10/8 and ESW-9525 were found resistant against all three rusts at different locations, also produced higher grain yield 4167kg ha -1 ) and (3778kg ha -1 ) respectively. Hence, could be used in future breeding programmes for disease resistance with higher yield.Keywords: bread wheat, leaf, stem, stripe rust, resistance

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“…The screened material will be incorporated further in hybridization programs to create genetic variability against rusts. [29][30][31][32] …”

Section: Resultsmentioning

confidence: 99%

Screening For Resistance Against Rust Diseases In Advanced Wheat (Triticum Aestivum L.) Genotypes

Arain¹

2017

APAR

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“…Selection for DT and many QTLs affecting grain yield identified under drought stress has produced effects that are highly specific to the genetic background (Lafitte et al 2006;Maccaferri et al 2008). In this study, the reciprocal ILs are skewed towards one parent or the other and show relatively uniform genetic background, thus ensuring that QTL mapping of DT was less affected by the genetic 'noise' from co-segregating, non-target traits such as heading date and plant size.…”

Section: Effect Of Genetic Background On Detection Of Qtls For Dtmentioning

confidence: 98%

Drought-tolerance QTLs commonly detected in two sets of reciprocal introgression lines in rice

et al. 2014

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Abstract. Drought is one of the major abiotic stresses limiting rice (Oryza sativa L.) production. Quantitative trait loci (QTLs) for drought tolerance (DT) at the reproductive stage were identified with two sets of reciprocal introgression lines derived from Lemont Â Teqing. In total, 29 and 23 QTLs were identified in the Teqing and Lemont backgrounds, respectively, during the reproductive stage under drought and irrigated conditions for spikelet number per panicle, seed fertility, filled grain weight per panicle, plant height, and grain yield per plant. Most of these QTLs showed obvious differential expressions in response to drought stress. Another 21 QTLs were detected by the ratio of trait values under drought stress relative to the normal irrigation conditions in the two backgrounds. For 28 DT QTLs, the Teqing alleles at 23 loci had increased trait values and could improve DT under drought stress. Only five (17.9%) DT QTLs (QSnp1b, QSnp3a, QSnp11, QSf8, and QGyp2a) were consistently detected in the two backgrounds, clearly suggesting overwhelming genetic background effects on QTL detection for DT. Seven of the DT QTL regions identified were found to share the same genomic regions with previously reported DT-related genes. Introgressing or pyramiding of favourable alleles from Teqing at the validated QTLs (QSnp3a, QSnp11 and QGyp2a) into Lemont background may improve DT level of Lemont.

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“…Grain weight per spike and spike weight were the only traits with absence of stable associations in more evaluation years. Using the collection of genotypes with a high level of polymorphism for association analysis and finding stable QTLs over a course of multiple years could be useful for the breeding process (Maccaferri et al, 2008). A potential new flowering-time gene on chromosome 6D (psp3200) was detected in similar material from the same core collection under contrasting water regimes (Dodig et al, 2012).…”

Section: Ssr Markersmentioning

confidence: 99%

Genetic associations in the detection of QTLs for wheat spike-related traits

Brbaklić¹,

Trkulja²,

Kondić‐Špika³

et al. 2015

Pesq. agropec. bras.

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-The objective of this work was to assess the genetic diversity and population structure of wheat genotypes, to detect significant and stable genetic associations, as well as to evaluate the efficiency of statistical models to identify chromosome regions responsible for the expression of spike-related traits. Eight important spike characteristics were measured during five growing seasons in Serbia. A set of 30 microsatellite markers positioned near important agronomic loci was used to evaluate genetic diversity, resulting in a total of 349 alleles. The marker-trait associations were analyzed using the general linear and mixed linear models. The results obtained for number of allelic variants per locus (11.5), average polymorphic information content value (0.68), and average gene diversity (0.722) showed that the exceptional level of polymorphism in the genotypes is the main requirement for association studies. The population structure estimated by model-based clustering distributed the genotypes into six subpopulations according to log probability of data. Significant and stable associations were detected on chromosomes 1B, 2A, 2B, 2D, and 6D, which explained from 4.7 to 40.7% of total phenotypic variations. The general linear model identified a significantly larger number of marker-trait associations (192) than the mixed linear model (76). The mixed linear model identified nine markers associated to six traits.Index terms: Triticum aestivum, genetic resources, microsatellites, population structure, spike-related traits. Associação genética na detecção de QTLs relacionados a características da espiga de trigoResumo -O objetivo deste trabalho foi avaliar a diversidade genética e a estrutura de população de genótipos de trigo, para detectar associações genéticas significativas e estáveis, bem como avaliar a eficácia de modelos estatísticos para identificar as regiões cromossômicas responsáveis pela expressão de características da espiga. Foram determinadas oito importantes características durante cinco safras agrícolas na Sérvia. Uma série de 30 marcadores microssatélites, localizados próximos a locos agronomicamente importantes, foi utilizada para avaliação da diversidade genética, o que resultou num total de 349 alelos. As associações marcador-características foram analisadas com uso dos modelos linear generalizado e linear misto. Os resultados obtidos para número de variantes alélicas por loco (11,5), valor médio de conteúdo de informação polimórfica (0,68) e diversidade genética média (0,722) mostraram que o nível excepcional de polimorfismo nos genótipos é o principal requerimento para estudos de associação. A estrutura da população estimada pelo agrupamento com base no modelo distribuiu os genótipos em seis subpopulações, de acordo com o log da probabilidade dos dados. Associações significativas e estáveis foram detectadas nos cromossomos 1B, 2A, 2B, 2D e 6D, que explicaram de 4,7 a 40,7% do total das variações fenotípicas. O modelo linear generalizado revelou número significativamente maior de asso...

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

Cited by 344 publications

References 114 publications

Screening For Resistance Against Rust Diseases In Advanced Wheat (Triticum Aestivum L.) Genotypes

Screening For Resistance Against Rust Diseases In Advanced Wheat (Triticum Aestivum L.) Genotypes

Drought-tolerance QTLs commonly detected in two sets of reciprocal introgression lines in rice

Genetic associations in the detection of QTLs for wheat spike-related traits

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