000 | 03424nab a22003617a 4500 | ||
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999 |
_c60727 _d60719 |
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001 | 60727 | ||
003 | MX-TxCIM | ||
005 | 20231017232835.0 | ||
008 | 190801s2019 ch |||p|op||| 00| 0 eng d | ||
022 | _a2095-7505 | ||
022 | _a2095-977X (Online) | ||
024 | 8 | _ahttps://doi.org/10.15302/J-FASE-2019269 | |
040 | _aMX-TxCIM | ||
041 | 0 | _aeng | |
100 | 0 |
_99938 _8001711772 _aCaiyun Liu _gGlobal Wheat Program |
|
245 | 1 | 0 |
_aSpectral reflectance indices as proxies for yield potential and heat stress tolerance in spring wheat : _bheritability estimates and marker-trait associations |
260 |
_aBeijing (China) : _bHigher Education Press, _c2019. |
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500 | _aPeer review | ||
500 | _aOpen Access | ||
520 | _aThe application of spectral reflectance indices (SRIs) as proxies to screen for yield potential (YP) and heat stress (HS) is emerging in crop breeding programs. Thus, a comparison of SRIs and their associations with grain yield (GY) under YP and HS conditions is important. In this study, we assessed the usefulness of 27 SRIs for indirect selection for agronomic traits by evaluating an elite spring wheat association mapping initiative (WAMI) population comprising 287 elite lines under YP and HS conditions. Genetic and phenotypic analysis identified 11 and 9 SRIs in different developmental stages as efficient indirect selection indices for yield in YP and HS conditions, respectively. We identified enhanced vegetation index (EVI) as the common SRI associated with GY under YP at booting, heading and late heading stages, whereas photochemical reflectance index (PRI) and normalized difference vegetation index (NDVI) were the common SRIs under booting and heading stages in HS. Genome-wide association study (GWAS) using 18704 single nucleotide polymorphisms (SNPs) from Illumina iSelect 90K identified 280 and 43 marker-trait associations for efficient SRIs at different developmental stages under YP and HS, respectively. Common genomic regions for multiple SRIs were identified in 14 regions in 9 chromosomes: 1B (60–62 cM), 3A (15, 85–90, 101– 105 cM), 3B (132–134 cM), 4A (47–51 cM), 4B (71– 75 cM), 5A (43–49, 56–60, 89–93 cM), 5B (124–125 cM), 6A (80–85 cM), and 6B (57–59, 71 cM). Among them, SNPs in chromosome 5A (89–93 cM) and 6A (80–85 cM) were co-located for yield and yield related traits. Overall, this study highlights the utility of SRIs as proxies for GY under YP and HS. High heritability estimates and identification of marker-trait associations indicate that SRIs are useful tools for understanding the genetic basis of agronomic and physiological traits. | ||
546 | _aText in English | ||
591 | _aCossani, C.M. : Not in IRS Staff list, not CIMMYT Affiliation | ||
650 | 7 |
_aGenomes _gAGROVOC _2 _91131 |
|
650 | 7 |
_2AGROVOC _91972 _aHeat tolerance |
|
650 | 7 |
_2AGROVOC _91806 _aSpring wheat |
|
700 | 1 |
_aPinto Espinosa, F. _8I1707012 _gFormerly Global Wheat Program _94431 |
|
700 | 1 |
_9898 _aCossani, C.M. _8INT3189 _gGlobal Wheat Program |
|
700 | 1 |
_aSukumaran, S. _gFormerly Global Wheat Program _8INT3330 _9920 |
|
700 | 1 |
_aReynolds, M.P. _gGlobal Wheat Program _8INT1511 _9831 |
|
773 | 0 |
_dBeijing (China) : Higher Education Press, 2019. _gv. 6, no. 3, p. 296-308 _tFrontiers of Agricultural Science and Engineering _wu56998 _x2095-7505 |
|
856 | 4 |
_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/20180 |
|
942 |
_2ddc _cJA _n0 |