Genetic loci associated with sorghum drought tolerance in multiple environments and their sensitivity to environmental covariables

被引:0
作者
Bernardino, Karine da Costa [1 ]
Guilhen, Jose Henrique Soler [1 ,5 ]
de Menezes, Cicero Beserra [1 ]
Tardin, Flavio Dessaune [1 ]
Schaffert, Robert Eugene [1 ]
Bastos, Edson Alves [2 ]
Cardoso, Milton Jose [2 ]
Gazaffi, Rodrigo [3 ,6 ]
Rosa, Joao Ricardo Bachega Feijo [3 ,7 ]
Garcia, Antonio Augusto Franco [3 ]
Guimaraes, Claudia Teixeira [1 ]
Kochian, Leon [4 ]
Pastina, Maria Marta [1 ]
Magalhaes, Jurandir Vieira [1 ]
机构
[1] Embrapa Maize & Sorghum, Rodovia MG 424,Km 65, BR-35701970 Sete Lagoas, MG, Brazil
[2] Embrapa Midnorth, Ave Duque Caxias,5-650, BR-64008780 Teresina, PI, Brazil
[3] Univ Sao Paulo, Luiz de Queiroz Coll Agr ESALQ, BR-13418900 Piracicaba, SP, Brazil
[4] Univ Saskatchewan, Global Inst Food Secur, Saskatoon, SK S7N 4J8, Canada
[5] JP Agr Consultoria, BR-68625130 Redencao, PA, Brazil
[6] Fed Univ Sao Carlos UFSCar, Rodovia Anhanguera,Km 174, BR-13604367 Araras, SP, Brazil
[7] RBGSC, BR-17210610 Jau, SP, Brazil
关键词
Climate change; Drought stress; G x E; GWAS; Temperature; QUANTITATIVE TRAIT LOCI; GRAIN-YIELD; GENOTYPE; STRESS; TRIALS; QTL; CLASSIFICATION; RESPONSES; SELECTION; PROTEIN;
D O I
10.1007/s00122-024-04761-3
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Agriculture under an erratic climate requires tapping into a reservoir of flexible adaptive loci that can lead to lasting yield stability under multiple abiotic stress conditions. Domesticated in the hot and dry regions of Africa, sorghum is considered a harsh crop, which is adapted to important stress factors closely related to climate change. To investigate the genetic basis of drought stress adaptation in sorghum, we used a multi-environment multi-locus genome-wide association study (MEML-GWAS) in a subset of a diverse sorghum association panel (SAP) phenotyped for performance both under well-watered and water stress conditions. We selected environments in Brazil that foreshadow agriculture where both drought and temperature stresses coincide as in many tropical agricultural frontiers. Drought reduced average grain yield (Gy) by up to 50% and also affected flowering time (Ft) and plant height (Ph). We found 15 markers associated with Gy on all sorghum chromosomes except for chromosomes 7 and 9, in addition to loci associated with phenology traits. Loci associated with Gy strongly interacted with the environment in a complex way, while loci associated with phenology traits were less affected by G x E. Studying environmental covariables potentially underpinning G x E, increases in relative humidity and evapotranspiration favored and disfavored grain yield, respectively. High temperatures influenced G x E and reduced sorghum yields, with a similar to 100 kg ha(-1) average decrease in grain yield for each unit increase in maximum temperature between 29 and 38 degrees C. Extreme G x E for sorghum stress resilience poses an additional challenge to breed crops for moving, erratic weather conditions.
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页数:22
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共 85 条
  • [1] Sorghum in dryland: morphological, physiological, and molecular responses of sorghum under drought stress
    Abreha, Kibrom B.
    Enyew, Muluken
    Carlsson, Anders S.
    Vetukuri, Ramesh R.
    Feyissa, Tileye
    Motlhaodi, Tiny
    Ng'uni, Dickson
    Geleta, Mulatu
    [J]. PLANTA, 2022, 255 (01)
  • [2] Akaike H., 1973, Second international symposium on information theory, P268, DOI [10.1007/978-1-4612-1694-015, DOI 10.1007/978-1-4612-1694-015]
  • [3] Koppen's climate classification map for Brazil
    Alvares, Clayton Alcarde
    Stape, Jose Luiz
    Sentelhas, Paulo Cesar
    de Moraes Goncalves, Jose Leonardo
    Sparovek, Gerd
    [J]. METEOROLOGISCHE ZEITSCHRIFT, 2013, 22 (06) : 711 - 728
  • [4] AGHmatrix: R Package to Construct Relationship Matrices for Autotetraploid and Diploid Species: A Blueberry Example
    Amadeu, Rodrigo R.
    Cellon, Catherine
    Olmstead, James W.
    Garcia, Antonio A. F.
    Resende, Marcio F. R., Jr.
    Munoz, Patricio R.
    [J]. PLANT GENOME, 2016, 9 (03):
  • [5] MULTIPLE SIGNIFICANCE TESTS - THE BONFERRONI METHOD .10.
    BLAND, JM
    ALTMAN, DG
    [J]. BRITISH MEDICAL JOURNAL, 1995, 310 (6973) : 170 - 170
  • [6] 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
    Boer, Martin P.
    Wright, Deanne
    Feng, Lizhi
    Podlich, Dean W.
    Luo, Lang
    Cooper, Mark
    van Eeuwijk, Fred A.
    [J]. GENETICS, 2007, 177 (03) : 1801 - 1813
  • [7] Genetic modification of PIN genes induces causal mechanisms of stay-green drought adaptation phenotype
    Borrell, Andrew K.
    Wong, Albert C. S.
    George-Jaeggli, Barbara
    van Oosterom, Erik J.
    Mace, Emma S.
    Godwin, Ian D.
    Liu, Guoquan
    Mullet, John E.
    Klein, Patricia E.
    Hammer, Graeme L.
    McLean, Greg
    Hunt, Colleen
    Jordan, David R.
    [J]. JOURNAL OF EXPERIMENTAL BOTANY, 2022, 73 (19) : 6711 - 6726
  • [8] Genetic Structure, Linkage Disequilibrium and Signature of Selection in Sorghum: Lessons from Physically Anchored DArT Markers
    Bouchet, Sophie
    Pot, David
    Deu, Monique
    Rami, Jean-Francois
    Billot, Claire
    Perrier, Xavier
    Rivallan, Ronan
    Gardes, Laetitia
    Xia, Ling
    Wenzl, Peter
    Kilian, Andrzej
    Glaszmann, Jean-Christophe
    [J]. PLOS ONE, 2012, 7 (03):
  • [9] TASSEL: software for association mapping of complex traits in diverse samples
    Bradbury, Peter J.
    Zhang, Zhiwu
    Kroon, Dallas E.
    Casstevens, Terry M.
    Ramdoss, Yogesh
    Buckler, Edward S.
    [J]. BIOINFORMATICS, 2007, 23 (19) : 2633 - 2635
  • [10] Brien C, 2021, Fitting mixed models and packages generally in exploring prediction differences