Literature DB >> 22297563

Studying the genetic basis of drought tolerance in sorghum by managed stress trials and adjustments for phenological and plant height differences.

P K Sabadin1, M Malosetti, M P Boer, F D Tardin, F G Santos, C T Guimarães, R L Gomide, C L T Andrade, P E P Albuquerque, F F Caniato, M Mollinari, G R A Margarido, B F Oliveira, R E Schaffert, A A F Garcia, F A van Eeuwijk, J V Magalhaes.   

Abstract

Managed environments in the form of well watered and water stressed trials were performed to study the genetic basis of grain yield and stay green in sorghum with the objective of validating previously detected QTL. As variations in phenology and plant height may influence QTL detection for the target traits, QTL for flowering time and plant height were introduced as cofactors in QTL analyses for yield and stay green. All but one of the flowering time QTL were detected near yield and stay green QTL. Similar co-localization was observed for two plant height QTL. QTL analysis for yield, using flowering time/plant height cofactors, led to yield QTL on chromosomes 2, 3, 6, 8 and 10. For stay green, QTL on chromosomes 3, 4, 8 and 10 were not related to differences in flowering time/plant height. The physical positions for markers in QTL regions projected on the sorghum genome suggest that the previously detected plant height QTL, Sb-HT9-1, and Dw2, in addition to the maturity gene, Ma5, had a major confounding impact on the expression of yield and stay green QTL. Co-localization between an apparently novel stay green QTL and a yield QTL on chromosome 3 suggests there is potential for indirect selection based on stay green to improve drought tolerance in sorghum. Our QTL study was carried out with a moderately sized population and spanned a limited geographic range, but still the results strongly emphasize the necessity of corrections for phenology in QTL mapping for drought tolerance traits in sorghum.

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Year:  2012        PMID: 22297563     DOI: 10.1007/s00122-012-1795-9

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  37 in total

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2.  Genetic diversity for aluminum tolerance in sorghum.

Authors:  F F Caniato; C T Guimarães; R E Schaffert; V M C Alves; L V Kochian; A Borém; P E Klein; J V Magalhaes
Journal:  Theor Appl Genet       Date:  2007-01-25       Impact factor: 5.699

3.  OneMap: software for genetic mapping in outcrossing species.

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Journal:  Hereditas       Date:  2007-07       Impact factor: 3.271

4.  Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

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5.  Heat and drought adaptive QTL in a wheat population designed to minimize confounding agronomic effects.

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Journal:  Theor Appl Genet       Date:  2010-06-04       Impact factor: 5.699

6.  Molecular mapping of QTLs conferring stay-green in grain sorghum (Sorghum bicolor L. Moench).

Authors:  W Xu; P K Subudhi; O R Crasta; D T Rosenow; J E Mullet; H T Nguyen
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7.  Mapping of post-flowering drought resistance traits in grain sorghum: association between QTLs influencing premature senescence and maturity.

Authors:  O R Crasta; W W Xu; D T Rosenow; J Mullet; H T Nguyen
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8.  Comparative mapping of a major aluminum tolerance gene in sorghum and other species in the poaceae.

Authors:  Jurandir V Magalhaes; David F Garvin; Yihong Wang; Mark E Sorrells; Patricia E Klein; Robert E Schaffert; Li Li; Leon V Kochian
Journal:  Genetics       Date:  2004-08       Impact factor: 4.562

9.  Alignment of genetic maps and QTLs between inter- and intra-specific sorghum populations.

Authors:  F A Feltus; G E Hart; K F Schertz; A M Casa; S Kresovich; S Abraham; P E Klein; P J Brown; A H Paterson
Journal:  Theor Appl Genet       Date:  2006-02-21       Impact factor: 5.699

10.  A mixed-model quantitative trait loci (QTL) analysis for multiple-environment trial data using environmental covariables for QTL-by-environment interactions, with an example in maize.

Authors:  Martin P Boer; Deanne Wright; Lizhi Feng; Dean W Podlich; Lang Luo; Mark Cooper; Fred A van Eeuwijk
Journal:  Genetics       Date:  2007-10-18       Impact factor: 4.562

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  25 in total

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Journal:  Planta       Date:  2022-01-17       Impact factor: 4.116

2.  Genotype by watering regime interaction in cultivated tomato: lessons from linkage mapping and gene expression.

Authors:  Elise Albert; Justine Gricourt; Nadia Bertin; Julien Bonnefoi; Stéphanie Pateyron; Jean-Philippe Tamby; Frédérique Bitton; Mathilde Causse
Journal:  Theor Appl Genet       Date:  2015-11-18       Impact factor: 5.699

3.  Development of a QTL-environment-based predictive model for node addition rate in common bean.

Authors:  Li Zhang; Salvador A Gezan; C Eduardo Vallejos; James W Jones; Kenneth J Boote; Jose A Clavijo-Michelangeli; Mehul Bhakta; Juan M Osorno; Idupulapati Rao; Stephen Beebe; Elvin Roman-Paoli; Abiezer Gonzalez; James Beaver; Jaumer Ricaurte; Raphael Colbert; Melanie J Correll
Journal:  Theor Appl Genet       Date:  2017-03-25       Impact factor: 5.699

4.  Phenotyping for drought tolerance of crops in the genomics era.

Authors:  Roberto Tuberosa
Journal:  Front Physiol       Date:  2012-09-19       Impact factor: 4.566

5.  Dissecting the genetic control of natural variation in sorghum photosynthetic response to drought stress.

Authors:  Diego Ortiz; Maria G Salas-Fernandez
Journal:  J Exp Bot       Date:  2022-05-23       Impact factor: 7.298

6.  Genome wide association study for drought, aflatoxin resistance, and important agronomic traits of maize hybrids in the sub-tropics.

Authors:  Ivan D Barrero Farfan; Gerald N De La Fuente; Seth C Murray; Thomas Isakeit; Pei-Cheng Huang; Marilyn Warburton; Paul Williams; Gary L Windham; Mike Kolomiets
Journal:  PLoS One       Date:  2015-02-25       Impact factor: 3.240

7.  Detection and validation of stay-green QTL in post-rainy sorghum involving widely adapted cultivar, M35-1 and a popular stay-green genotype B35.

Authors:  Nagaraja Reddy Rama Reddy; Madhusudhana Ragimasalawada; Murali Mohan Sabbavarapu; Seetharama Nadoor; Jagannatha Vishnu Patil
Journal:  BMC Genomics       Date:  2014-10-18       Impact factor: 3.969

8.  Association mapping and genomic selection for sorghum adaptation to tropical soils of Brazil in a sorghum multiparental random mating population.

Authors:  Karine C Bernardino; Cícero B de Menezes; Sylvia M de Sousa; Claudia T Guimarães; Pedro C S Carneiro; Robert E Schaffert; Leon V Kochian; Barbara Hufnagel; Maria Marta Pastina; Jurandir V Magalhaes
Journal:  Theor Appl Genet       Date:  2020-10-14       Impact factor: 5.699

9.  The statistical analysis of multi-environment data: modeling genotype-by-environment interaction and its genetic basis.

Authors:  Marcos Malosetti; Jean-Marcel Ribaut; Fred A van Eeuwijk
Journal:  Front Physiol       Date:  2013-03-12       Impact factor: 4.566

10.  Genome-environment associations in sorghum landraces predict adaptive traits.

Authors:  Jesse R Lasky; Hari D Upadhyaya; Punna Ramu; Santosh Deshpande; C Tom Hash; Jason Bonnette; Thomas E Juenger; Katie Hyma; Charlotte Acharya; Sharon E Mitchell; Edward S Buckler; Zachary Brenton; Stephen Kresovich; Geoffrey P Morris
Journal:  Sci Adv       Date:  2015-07-03       Impact factor: 14.136

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