Performance and yield stability of doubled haploid population of wheat (Triticum aestivum L.) under high-temperature regime

被引:7
作者
Pankaj, Yaswant Kumar [1 ]
Kumar, Rajeev [1 ]
Pal, Lalit [2 ]
Gill, Kulvinder Singh [3 ]
Nagarajan, Ragupathi [4 ]
Kumar, Vishnu [1 ]
Panigrahi, Sourav [1 ]
机构
[1] Dr Rajendra Prasad Cent Agr Univ, Dept Agr Biotechnol & Mol Biol, Samastipur, Bihar, India
[2] Punjab Agr Univ, Dept Plant Breeding & Genet, Ludhiana, Punjab, India
[3] Washington State Univ, Dept Crop & Soil Sci, Pullman, WA 99164 USA
[4] Oklahoma State Univ Stillwater, Dept Plant & Soil Sci, Stillwater, OK USA
关键词
Heat stress; Double haploid; Stability; Quantitative trait loci and composite interval mapping; BREAD WHEAT; ENVIRONMENT INTERACTION; REPRODUCTIVE GROWTH; HEAT TOLERANCE; GRAIN-YIELD; QTL; TRAITS; STRESS; ASSOCIATION; PARAMETERS;
D O I
10.1007/s42976-022-00247-4
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
The DH lines derived from PBW343 x IC252478 were sown for three distinct sowing dates for the years 2017-2018 and 2018-2019. The area chosen for this study was chosen because it is a hot spot for wheat production, and heat stress is a major limitation for wheat growers. In this study, three replicates of the alpha lattice design were employed. Stability measures and genotype-environment interaction were shown to be valuable methods in determining the best lines for heat-stressed environments. Out of 165 DH lines, DH 71, DH 150, DH 34, DH13 DH 64, DH 138, DH 98, DH 84, DH 62, DH 104, DH 74, DH 3, DH 104, DH 107, and DH 156 were ranked closest to ideal and winning genotype in the ranking of genotypes for mean yield, mean versus stability, GGE biplot, and stability performance across the six environments; these were highly adapted, most stable, heat-tolerant, and high-yielding lines. Moreover, the population was also subjected to quantitative trait loci (QTL) mapping for which composite interval mapping (CIM) was performed and it unravelled a total of 36 QTLs where 6 QTLS were detected in non-stressed and 30 QTLs in heat-stressed condition. The detected QTLs spanned on 1A, 1D, 2B, 2D, 3B, 4D, 5B, and 6D chromosomes. The overall goal of the current investigation was to find the best suitable double haploid lines which can withstand heat stress and to find those QTLs which are influential to heat stress for yield-related traits.
引用
收藏
页码:1185 / 1203
页数:19
相关论文
共 51 条
  • [1] Response of Spring Wheat (Triticum aestivum L.) Quality Traits and Yield to Sowing Date
    Ahmed, Mukhtar
    Fayyaz-ul-Hassan
    [J]. PLOS ONE, 2015, 10 (04):
  • [2] Mapping QTL for chlorophyll fluorescence kinetics parameters at seedling stage as indicators of heat tolerance in wheat
    Azam, Farooq I.
    Chang, Xiaoping
    Jing, Ruilian
    [J]. EUPHYTICA, 2015, 202 (02) : 245 - 258
  • [3] Detection of two major grain yield QTL in bread wheat (Triticum aestivum L.) under heat, drought and high yield potential environments
    Bennett, Dion
    Reynolds, Matthew
    Mullan, Daniel
    Izanloo, Ali
    Kuchel, Haydn
    Langridge, Peter
    Schnurbusch, Thorsten
    [J]. THEORETICAL AND APPLIED GENETICS, 2012, 125 (07) : 1473 - 1485
  • [4] Mapping QTLs for grain yield components in wheat under heat stress
    Bhusal, Nabin
    Sarial, Ashok Kumar
    Sharma, Pradeep
    Sareen, Sindhu
    [J]. PLOS ONE, 2017, 12 (12):
  • [5] Relationships between grain protein content and grain yield components through quantitative trait locus analyses in a recombinant inbred line population derived from two elite durum wheat cultivars
    Blanco, A.
    Mangini, G.
    Giancaspro, A.
    Giove, S.
    Colasuonno, P.
    Simeone, R.
    Signorile, A.
    De Vita, P.
    Mastrangelo, A. M.
    Cattivelli, L.
    Gadaleta, A.
    [J]. MOLECULAR BREEDING, 2012, 30 (01) : 79 - 92
  • [6] An improved assembly and annotation of the allohexaploid wheat genome identifies complete families of agronomic genes and provides genomic evidence for chromosomal translocations
    Clavijo, Bernardo J.
    Venturini, Luca
    Schudoma, Christian
    Accinelli, Gonzalo Garcia
    Kaithakottil, Gemy
    Wright, Jonathan
    Borrill, Philippa
    Kettleborough, George
    Heavens, Darren
    Chapman, Helen
    Lipscombe, James
    Barker, Tom
    Lu, Fu-Hao
    McKenzie, Neil
    Raats, Dina
    Ramirez-Gonzalez, Ricardo H.
    Coince, Aurore
    Peel, Ned
    Percival-Alwyn, Lawrence
    Duncan, Owen
    Troesch, Josua
    Yu, Guotai
    Bolser, Dan M.
    Namaati, Guy
    Kerhornou, Arnaud
    Spannagl, Manuel
    Gundlach, Heidrun
    Haberer, Georg
    Davey, Robert P.
    Fosker, Christine
    Di Palma, Federica
    Phillips, Andrew L.
    Millar, A. Harvey
    Kersey, Paul J.
    Uauy, Cristobal
    Krasileva, Ksenia V.
    Swarbreck, David
    Bevan, Michael W.
    Clark, Matthew D.
    [J]. GENOME RESEARCH, 2017, 27 (05) : 885 - 896
  • [7] Dhillon SS, 1993, 23A CIMMYT
  • [8] Dia M, 2012, CUCURBITACEAE 2012: PROCEEDINGS OF THE XTH EUCARPIA MEETING ON GENETICS AND BREEDING OF CUCURBITACEAE, P385
  • [9] Genotype x Environment Interaction and Stability Analysis for Watermelon Fruit Yield in the United States
    Dia, Mahendra
    Wehner, Todd C.
    Hassell, Richard
    Price, Daniel S.
    Boyhan, George E.
    Olson, Stephen
    King, Stephen
    Davis, Angela R.
    Tolla, Gregory E.
    [J]. CROP SCIENCE, 2016, 56 (04) : 1645 - 1661
  • [10] Abiotic stress and control of grain number in cereals
    Dolferus, Rudy
    Ji, Xuemei
    Richards, Richard A.
    [J]. PLANT SCIENCE, 2011, 181 (04) : 331 - 341