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001 68753
003 MX-TxCIM
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022 _a1471-2229
024 8 _ahttps://doi.org/10.1186/s12870-025-06498-7
040 _aMX-TxCIM
041 _aeng
100 0 _aPeng Ma
_919671
245 1 0 _aUnveiling the heterosis pattern of modern maize breeding in Southwest China through population structure and genetic diversity analysis
260 _aUnited Kingdom :
_bBioMed Central Ltd,,
_c2025.
500 _aPeer review
500 _aOpen Access
520 _aMaize (Zea mays L.) is an important food crop throughout the world and is also one of the earliest crops to use heterosis. In this study, we evaluated the genetic diversity, population structure, and selective sweep of 100 elite inbred maize lines collected from the current breeding program in Sichuan province, Southwest China, using 5,261,175 high-quality single nucleotide polymorphisms (SNPs). We discovered an abundance of genetic diversities and classified them into four groups. By combining kinship relationships, these groups were further divided into Tropic-local A, Improved-tropic, Tropic-local B, and Improved-local. Genomic differentiation was assessed using Fst values (0.21-0.44) as well as genetic diversity (pi = 6.07 x 10-4 - 6.61 x 10-4). We generated 900 (90 x 10) hybrids using 90 and 10 inbred maize lines from 100 diverse maize germplasms. All hybrids were evaluated for 10 traits in three replicate tests across two locations. We found that the patterns of G1 x G3, G1 x G4, G2 x G3, and G3 x G4 exhibited significant heterosis in yield-related traits and have been used in commercial breeding. In addition, we also explored the relationship between 10 traits of hybrid offspring and the number of heterozygous SNP. Under most heterosis modes, the best linear unbiased estimation (BLUE) value of the trait was highly consistent with the trend of deleterious SNPs, but there was a deviation in the G1 x G3 mode. Taken together, the results provide insight into the utilization of the current maize germplasm in Sichuan province to improve hybrid breeding.
546 _aText in English
597 _dChina Agricultural Research System (CARS)
_dSichuan Provincial Science and Technology Program
_fBreeding for Tomorrow
_uhttps://hdl.handle.net/10568/179257
650 7 _aMaize
_2AGROVOC
_91173
650 7 _aBreeding
_2AGROVOC
_91029
650 7 _aSingle nucleotide polymorphisms
_2AGROVOC
_910805
650 7 _aCombining ability
_2AGROVOC
_92367
650 7 _aHeterosis
_2AGROVOC
_91145
650 0 _aGenetic diversity (resource)
_92974
_2AGROVOC
651 7 _aChina
_2AGROVOC
_93990
700 0 _aHua Zhang
_98153
700 0 _aHongxia Shui
_938741
700 0 _aXuecai Zhang
_gGlobal Maize Program
_8INT3400
_9951
700 0 _aXiuquan Wang
_923623
700 0 _aShibin Gao
_98403
700 0 _aHaiying Zhang
_919676
700 0 _aZhi Nie
_938742
700 0 _aChunyan Qing
_938743
700 0 _aTingqi Lu
_923624
700 0 _aQihua Pang
_938744
700 0 _aWenzheng Pei
_938745
700 0 _aHongmei Chen
_938746
700 0 _aChenyan He
_938747
700 0 _aBowen Luo
_919673
700 0 _aDan He
_938748
773 0 _tBMC Plant Biology
_gv. 25, no. 1, art. 477
_dUnited Kingdom : BioMed Central Ltd., 2025.
_x1471-2229
_wG79387
856 4 _yOpen Access through DSpace
_uhttps://hdl.handle.net/10883/35634
942 _cJA
_n0
_2ddc
999 _c68753
_d68745