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Huo X, Wang J, Zhang L. Combined QTL mapping on bi-parental immortalized heterozygous populations to detect the genetic architecture on heterosis. FRONTIERS IN PLANT SCIENCE 2023; 14:1157778. [PMID: 37082336 PMCID: PMC10112513 DOI: 10.3389/fpls.2023.1157778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 03/20/2023] [Indexed: 05/03/2023]
Abstract
From bi-parental pure-inbred lines (PIL), immortalized backcross (i.e., IB1 and IB2, representing the two directions of backcrossing) and F2 (i.e., IF2) populations can be developed. These populations are suitable for genetic studies on heterosis, due to the present of both homozygous and heterozygous genotypes, and in the meantime allow repeated phenotyping trials across multiple locations and years. In this study, we developed a combined approach of quantitative trait locus (QTL) mapping, when some or all of the four immortalized populations (i.e., PIL, IB1, IB2, and IF2) are available. To estimate the additive and dominant effects simultaneously and accurately, suitable transformations are made on phenotypic values from different populations. When IB1 and IB2 are present, summation and subtraction are used. When IF2 and PIL are available, mid-parental values and mid-parental heterosis are used. One-dimensional genomic scanning is performed to detect the additive and dominant QTLs, based on the algorithm of inclusive composite interval mapping (ICIM). The proposed approach was applied to one IF2 population together with PIL in maize, and identified ten QTLs on ear length, showing varied degrees of dominance. Simulation studies indicated the proposed approach is similar to or better than individual population mapping by QTL detection power, false discovery rate (FDR), and estimated QTL position and effects.
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Affiliation(s)
- Xuexue Huo
- National Key Facility for Crop Gene Resources and Genetic Improvement, and Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Jiankang Wang
- National Key Facility for Crop Gene Resources and Genetic Improvement, and Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences (CAAS), Sanya, Hainan, China
- *Correspondence: Jiankang Wang, ; Luyan Zhang,
| | - Luyan Zhang
- National Key Facility for Crop Gene Resources and Genetic Improvement, and Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
- *Correspondence: Jiankang Wang, ; Luyan Zhang,
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Niu H, Ge Q, Shang H, Yuan Y. Inheritance, QTLs, and Candidate Genes of Lint Percentage in Upland Cotton. Front Genet 2022; 13:855574. [PMID: 35450216 PMCID: PMC9016478 DOI: 10.3389/fgene.2022.855574] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Accepted: 02/22/2022] [Indexed: 11/13/2022] Open
Abstract
Cotton (Gossypium spp.) is an important natural fiber plant. Lint percentage (LP) is one of the most important determinants of cotton yield and is a typical quantitative trait with high variation and heritability. Many cotton LP genetic linkages and association maps have been reported. This work summarizes the inheritance, quantitative trait loci (QTLs), and candidate genes of LP to facilitate LP genetic study and molecular breeding. More than 1439 QTLs controlling LP have been reported. Excluding replicate QTLs, 417 unique QTLs have been identified on 26 chromosomes, including 243 QTLs identified at LOD >3. More than 60 are stable, major effective QTLs that can be used in marker-assisted selection (MAS). More than 90 candidate genes for LP have been reported. These genes encode MYB, HOX, NET, and other proteins, and most are preferentially expressed during fiber initiation and elongation. A putative molecular regulatory model of LP was constructed and provides the foundation for the genetic study and molecular breeding of LP.
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Affiliation(s)
- Hao Niu
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Qun Ge
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Haihong Shang
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, China
- *Correspondence: Haihong Shang, ; Youlu Yuan,
| | - Youlu Yuan
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, China
- *Correspondence: Haihong Shang, ; Youlu Yuan,
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Aakanksha, Yadava SK, Yadav BG, Gupta V, Mukhopadhyay A, Pental D, Pradhan AK. Genetic Analysis of Heterosis for Yield Influencing Traits in Brassica juncea Using a Doubled Haploid Population and Its Backcross Progenies. FRONTIERS IN PLANT SCIENCE 2021; 12:721631. [PMID: 34603351 PMCID: PMC8481694 DOI: 10.3389/fpls.2021.721631] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 08/16/2021] [Indexed: 01/07/2024]
Abstract
The exploitation of heterosis through hybrid breeding is one of the major breeding objectives for productivity increase in crop plants. This research analyzes the genetic basis of heterosis in Brassica juncea by using a doubled haploid (DH) mapping population derived from F1 between two heterotic inbred parents, one belonging to the Indian and the other belonging to the east European gene pool, and their two corresponding sets of backcross hybrids. An Illumina Infinium Brassica 90K SNP array-based genetic map was used to identify yield influencing quantitative trait loci (QTL) related to plant architecture, flowering, and silique- and seed-related traits using five different data sets from multiple trials, allowing the estimation of additive and dominance effects, as well as digenic epistatic interactions. In total, 695 additive QTL were detected for the 14 traits in the three trials using five data sets, with overdominance observed to be the predominant type of effect in determining the expression of heterotic QTL. The results indicated that the design in the present study was efficient for identifying common QTL across multiple trials and populations, which constitute a valuable resource for marker-assisted selection and further research. In addition, a total of 637 epistatic loci were identified, and it was concluded that epistasis among loci without detectable main effects plays an important role in controlling heterosis in yield of B. juncea.
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Affiliation(s)
- Aakanksha
- Department of Genetics, University of Delhi South Campus, New Delhi, India
| | - Satish Kumar Yadava
- Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, New Delhi, India
| | - Bal Govind Yadav
- Department of Genetics, University of Delhi South Campus, New Delhi, India
| | - Vibha Gupta
- Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, New Delhi, India
| | - Arundhati Mukhopadhyay
- Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, New Delhi, India
| | - Deepak Pental
- Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, New Delhi, India
| | - Akshay K. Pradhan
- Department of Genetics, University of Delhi South Campus, New Delhi, India
- Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, New Delhi, India
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4
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Yu D, Gu X, Zhang S, Dong S, Miao H, Gebretsadik K, Bo K. Molecular basis of heterosis and related breeding strategies reveal its importance in vegetable breeding. HORTICULTURE RESEARCH 2021; 8:120. [PMID: 34059656 PMCID: PMC8166827 DOI: 10.1038/s41438-021-00552-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 03/07/2021] [Accepted: 03/22/2021] [Indexed: 05/02/2023]
Abstract
Heterosis has historically been exploited in plants; however, its underlying genetic mechanisms and molecular basis remain elusive. In recent years, due to advances in molecular biotechnology at the genome, transcriptome, proteome, and epigenome levels, the study of heterosis in vegetables has made significant progress. Here, we present an extensive literature review on the genetic and epigenetic regulation of heterosis in vegetables. We summarize six hypotheses to explain the mechanism by which genes regulate heterosis, improve upon a possible model of heterosis that is triggered by epigenetics, and analyze previous studies on quantitative trait locus effects and gene actions related to heterosis based on analyses of differential gene expression in vegetables. We also discuss the contributions of yield-related traits, including flower, fruit, and plant architecture traits, during heterosis development in vegetables (e.g., cabbage, cucumber, and tomato). More importantly, we propose a comprehensive breeding strategy based on heterosis studies in vegetables and crop plants. The description of the strategy details how to obtain F1 hybrids that exhibit heterosis based on heterosis prediction, how to obtain elite lines based on molecular biotechnology, and how to maintain heterosis by diploid seed breeding and the selection of hybrid simulation lines that are suitable for heterosis research and utilization in vegetables. Finally, we briefly provide suggestions and perspectives on the role of heterosis in the future of vegetable breeding.
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Affiliation(s)
- Daoliang Yu
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xingfang Gu
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Shengping Zhang
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Shaoyun Dong
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Han Miao
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Kiros Gebretsadik
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
- Department of Plant Science, Aksum University, Shire Campus, Shire, Ethiopia
| | - Kailiang Bo
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China.
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Sarfraz Z, Iqbal MS, Geng X, Iqbal MS, Nazir MF, Ahmed H, He S, Jia Y, Pan Z, Sun G, Ahmad S, Wang Q, Qin H, Liu J, Liu H, Yang J, Ma Z, Xu D, Yang J, Zhang J, Li Z, Cai Z, Zhang X, Zhang X, Huang A, Yi X, Zhou G, Li L, Zhu H, Pang B, Wang L, Sun J, Du X. GWAS Mediated Elucidation of Heterosis for Metric Traits in Cotton ( Gossypium hirsutum L.) Across Multiple Environments. FRONTIERS IN PLANT SCIENCE 2021; 12:565552. [PMID: 34093598 PMCID: PMC8173050 DOI: 10.3389/fpls.2021.565552] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 03/15/2021] [Indexed: 06/12/2023]
Abstract
For about a century, plant breeding has widely exploited the heterosis phenomenon-often considered as hybrid vigor-to increase agricultural productivity. The ensuing F1 hybrids can substantially outperform their progenitors due to heterozygous combinations that mitigate deleterious mutations occurring in each genome. However, only fragmented knowledge is available concerning the underlying genes and processes that foster heterosis. Although cotton is among the highly valued crops, its improvement programs that involve the exploitation of heterosis are still limited in terms of significant accomplishments to make it broadly applicable in different agro-ecological zones. Here, F1 hybrids were derived from mating a diverse Upland Cotton germplasm with commercially valuable cultivars in the Line × Tester fashion and evaluated across multiple environments for 10 measurable traits. These traits were dissected into five different heterosis types and specific combining ability (SCA). Subsequent genome-wide predictions along-with association analyses uncovered a set of 298 highly significant key single nucleotide polymorphisms (SNPs)/Quantitative Trait Nucleotides (QTNs) and 271 heterotic Quantitative Trait Nucleotides (hQTNs) related to agronomic and fiber quality traits. The integration of a genome wide association study with RNA-sequence analysis yielded 275 candidate genes in the vicinity of key SNPs/QTNs. Fiber micronaire (MIC) and lint percentage (LP) had the maximum number of associated genes, i.e., each with 45 related to QTNs/hQTNs. A total of 54 putative candidate genes were identified in association with HETEROSIS of quoted traits. The novel players in the heterosis mechanism highlighted in this study may prove to be scientifically and biologically important for cotton biologists, and for those breeders engaged in cotton fiber and yield improvement programs.
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Affiliation(s)
- Zareen Sarfraz
- State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, China
| | - Muhammad Shahid Iqbal
- State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, China
- Cotton Research Institute, Ayub Agricultural Research Institute, Multan, Pakistan
| | - Xiaoli Geng
- State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, China
| | - Muhammad Sajid Iqbal
- State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, China
- Cotton Research Institute, Ayub Agricultural Research Institute, Multan, Pakistan
| | - Mian Faisal Nazir
- State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, China
| | - Haris Ahmed
- State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, China
| | - Shoupu He
- State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, China
| | - Yinhua Jia
- State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, China
| | - Zhaoe Pan
- State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, China
| | - Gaofei Sun
- Anyang Institute of Technology, Anyang, China
| | - Saghir Ahmad
- Cotton Research Institute, Ayub Agricultural Research Institute, Multan, Pakistan
| | - Qinglian Wang
- Henan Institute of Science and Technology, Xinxiang, China
| | - Hongde Qin
- Cash Crops Research Institute, Hubei Academy of Agricultural Sciences, Wuhan, China
| | - Jinhai Liu
- Zhongmian Seed Technologies Co., Ltd., Zhengzhou, China
| | - Hui Liu
- Jing Hua Seed Industry Technologies Inc., Jingzhou, China
| | - Jun Yang
- Cotton Research Institute of Jiangxi Province, Jiujiang, China
| | - Zhiying Ma
- Key Laboratory for Crop Germplasm Resources of Hebei, Agricultural University of Hebei, Baoding, China
| | - Dongyong Xu
- Guoxin Rural Technical Service Association, Hebei, China
| | - Jinlong Yang
- Zhongmian Seed Technologies Co., Ltd., Zhengzhou, China
| | | | - Zhikun Li
- Key Laboratory for Crop Germplasm Resources of Hebei, Agricultural University of Hebei, Baoding, China
| | - Zhongmin Cai
- Zhongmian Seed Technologies Co., Ltd., Zhengzhou, China
| | | | - Xin Zhang
- Henan Institute of Science and Technology, Xinxiang, China
| | - Aifen Huang
- Sanyi Seed Industry of Changde in Hunan Inc., Changde, China
| | - Xianda Yi
- Cash Crops Research Institute, Hubei Academy of Agricultural Sciences, Wuhan, China
| | - Guanyin Zhou
- Zhongmian Seed Technologies Co., Ltd., Zhengzhou, China
| | - Lin Li
- Zhongli Company of Shandong, Shandong, China
| | - Haiyong Zhu
- State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, China
| | - Baoyin Pang
- State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, China
| | - Liru Wang
- State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, China
| | - Junling Sun
- State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, China
| | - Xiongming Du
- State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences (ICR, CAAS), Anyang, China
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6
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Wang Y, Li G, Guo X, Sun R, Dong T, Yang Q, Wang Q, Li C. Dissecting the genetic architecture of seed-cotton and lint yields in Upland cotton using genome-wide association mapping. BREEDING SCIENCE 2019; 69:611-620. [PMID: 31988625 PMCID: PMC6977443 DOI: 10.1270/jsbbs.19057] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Accepted: 07/23/2019] [Indexed: 05/18/2023]
Abstract
Seed-cotton yield (SY) and lint yield (LY) are the most important yield traits of cotton. Thus, it is critical to dissect their genetic architecture. Upland cotton (Gossypium hirsutum) is widely grown worldwide. In this study, a genome-wide association mapping was performed based on the CottonSNP80K array to dissect the genetic architecture of SY and LY in Upland cotton. Twenty-three significant associations were detected within four environments, including 11 associated with SY and 12 associated with LY. Seven single nucleotide polymorphisms (SNPs), TM234, TM237, TM247, TM255, TM256, TM263, and TM264, were co-associated with the two traits, which may indicate pleiotropy or intergenic tight linkages. Five SNPs, TM13332, TM39771, TM57119, TM81653, and TM81660, were coincided with those of previous reports and could be used in marker-assisted selection. Combining functional annotations with expression analyses of the genes identified within 400 kb of the significantly associated SNPs, we hypothesize that the three genes, Gh_D05G1077 and Gh_D13G1571 for SY, and Gh_A11G0775 for LY, may have the potential to increase cotton yield. The results would provide useful information for understanding the genetic basis of yield traits in Upland cotton and for facilitating its high-yield breeding through molecular design.
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Affiliation(s)
- Yuanyuan Wang
- Collaborative Innovation Center of Modern Biological Breeding, Henan Institute of Science and Technology,
Xinxiang 453003,
China
| | - Guirong Li
- Collaborative Innovation Center of Modern Biological Breeding, Henan Institute of Science and Technology,
Xinxiang 453003,
China
| | - Xinlei Guo
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture, Sino-Dutch Joint Laboratory of Horticultural Genomics,
Beijing 100081,
China
| | - Runrun Sun
- Collaborative Innovation Center of Modern Biological Breeding, Henan Institute of Science and Technology,
Xinxiang 453003,
China
| | - Tao Dong
- Collaborative Innovation Center of Modern Biological Breeding, Henan Institute of Science and Technology,
Xinxiang 453003,
China
| | - Qiuyue Yang
- Collaborative Innovation Center of Modern Biological Breeding, Henan Institute of Science and Technology,
Xinxiang 453003,
China
| | - Qinglian Wang
- Collaborative Innovation Center of Modern Biological Breeding, Henan Institute of Science and Technology,
Xinxiang 453003,
China
| | - Chengqi Li
- Collaborative Innovation Center of Modern Biological Breeding, Henan Institute of Science and Technology,
Xinxiang 453003,
China
- Corresponding author (e-mail: )
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Zhang K, Kuraparthy V, Fang H, Zhu L, Sood S, Jones DC. High-density linkage map construction and QTL analyses for fiber quality, yield and morphological traits using CottonSNP63K array in upland cotton (Gossypium hirsutum L.). BMC Genomics 2019; 20:889. [PMID: 31771502 PMCID: PMC6878679 DOI: 10.1186/s12864-019-6214-z] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Accepted: 10/22/2019] [Indexed: 12/14/2022] Open
Abstract
Background Improving fiber quality and yield are the primary research objectives in cotton breeding for enhancing the economic viability and sustainability of Upland cotton production. Identifying the quantitative trait loci (QTL) for fiber quality and yield traits using the high-density SNP-based genetic maps allows for bridging genomics with cotton breeding through marker assisted and genomic selection. In this study, a recombinant inbred line (RIL) population, derived from cross between two parental accessions, which represent broad allele diversity in Upland cotton, was used to construct high-density SNP-based linkage maps and to map the QTLs controlling important cotton traits. Results Molecular genetic mapping using RIL population produced a genetic map of 3129 SNPs, mapped at a density of 1.41 cM. Genetic maps of the individual chromosomes showed good collinearity with the sequence based physical map. A total of 106 QTLs were identified which included 59 QTLs for six fiber quality traits, 38 QTLs for four yield traits and 9 QTLs for two morphological traits. Sub-genome wide, 57 QTLs were mapped in A sub-genome and 49 were mapped in D sub-genome. More than 75% of the QTLs with favorable alleles were contributed by the parental accession NC05AZ06. Forty-six mapped QTLs each explained more than 10% of the phenotypic variation. Further, we identified 21 QTL clusters where 12 QTL clusters were mapped in the A sub-genome and 9 were mapped in the D sub-genome. Candidate gene analyses of the 11 stable QTL harboring genomic regions identified 19 putative genes which had functional role in cotton fiber development. Conclusion We constructed a high-density genetic map of SNPs in Upland cotton. Collinearity between genetic and physical maps indicated no major structural changes in the genetic mapping populations. Most traits showed high broad-sense heritability. One hundred and six QTLs were identified for the fiber quality, yield and morphological traits. Majority of the QTLs with favorable alleles were contributed by improved parental accession. More than 70% of the mapped QTLs shared the similar map position with previously reported QTLs which suggest the genetic relatedness of Upland cotton germplasm. Identification of QTL clusters could explain the correlation among some fiber quality traits in cotton. Stable and major QTLs and QTL clusters of traits identified in the current study could be the targets for map-based cloning and marker assisted selection (MAS) in cotton breeding. The genomic region on D12 containing the major stable QTLs for micronaire, fiber strength and lint percentage could be potential targets for MAS and gene cloning of fiber quality traits in cotton.
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Affiliation(s)
- Kuang Zhang
- Crop & Soil Sciences Department, North Carolina State University, Raleigh, NC, 27695, USA
| | - Vasu Kuraparthy
- Crop & Soil Sciences Department, North Carolina State University, Raleigh, NC, 27695, USA.
| | - Hui Fang
- Crop & Soil Sciences Department, North Carolina State University, Raleigh, NC, 27695, USA
| | - Linglong Zhu
- Crop & Soil Sciences Department, North Carolina State University, Raleigh, NC, 27695, USA
| | - Shilpa Sood
- Crop & Soil Sciences Department, North Carolina State University, Raleigh, NC, 27695, USA.,4 Cityplace drive, The Climate Corporation (Bayer U.S. Crop Science), St. Louis, MO, 63141, USA
| | - Don C Jones
- Cotton Incorporated, 6399 Weston Parkway, Cary, NC, 27513, USA
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