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Genetic Architecture of Soybean Yield and Agronomic Traits.
Diers, Brian W; Specht, Jim; Rainey, Katy Martin; Cregan, Perry; Song, Qijian; Ramasubramanian, Vishnu; Graef, George; Nelson, Randall; Schapaugh, William; Wang, Dechun; Shannon, Grover; McHale, Leah; Kantartzi, Stella K; Xavier, Alencar; Mian, Rouf; Stupar, Robert M; Michno, Jean-Michel; An, Yong-Qiang Charles; Goettel, Wolfgang; Ward, Russell; Fox, Carolyn; Lipka, Alexander E; Hyten, David; Cary, Troy; Beavis, William D.
Afiliación
  • Diers BW; Department of Crop Sciences, University of Illinois, Urbana, IL, 61801 bdiers@illinois.edu.
  • Specht J; Department of Agronomy and Horticulture, University of Nebraska, Lincoln, NE, 68583.
  • Rainey KM; Department of Agronomy, Purdue University, West Lafayette, IN, 47907.
  • Cregan P; USDA-ARS, Beltsville, MD, 20705.
  • Song Q; USDA-ARS, Beltsville, MD, 20705.
  • Ramasubramanian V; Department of Agronomy, Iowa State University, Ames, IA, 50011.
  • Graef G; Department of Agronomy and Horticulture, University of Nebraska, Lincoln, NE, 68583.
  • Nelson R; USDA-ARS and Department of Crop Sciences, University of Illinois, Urbana, IL, 61801.
  • Schapaugh W; Department of Agronomy, Kansas State University, Manhattan, KS, 66506.
  • Wang D; Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI, 48824.
  • Shannon G; Division of Plant Sciences, University of Missouri Delta Center, Portageville, MO, 63873.
  • McHale L; Department of Horticulture and Crop Science, The Ohio State University, Columbus, OH, 43210.
  • Kantartzi SK; Plant, Soil, and Agricultural Systems, Southern Illinois University, Carbondale, IL, 62901.
  • Xavier A; Dow AgroSciences, Indianapolis, IN, 46268.
  • Mian R; USDA-ARS, Raleigh, NC, 27606.
  • Stupar RM; Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, 55108.
  • Michno JM; Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, 55108.
  • An YC; USDA-ARS Plant Genetic Research Unit at Donald Danforth Plant Science Center, St. Louis, MO, 63132.
  • Goettel W; USDA-ARS Plant Genetic Research Unit at Donald Danforth Plant Science Center, St. Louis, MO, 63132.
  • Ward R; Department of Crop Sciences, University of Illinois, Urbana, IL, 61801.
  • Fox C; Department of Crop Sciences, University of Illinois, Urbana, IL, 61801.
  • Lipka AE; Department of Crop Sciences, University of Illinois, Urbana, IL, 61801.
  • Hyten D; Department of Agronomy and Horticulture, University of Nebraska, Lincoln, NE, 68583.
  • Cary T; Department of Crop Sciences, University of Illinois, Urbana, IL, 61801.
  • Beavis WD; Department of Agronomy, Iowa State University, Ames, IA, 50011.
G3 (Bethesda) ; 8(10): 3367-3375, 2018 10 03.
Article en En | MEDLINE | ID: mdl-30131329
ABSTRACT
Soybean is the world's leading source of vegetable protein and demand for its seed continues to grow. Breeders have successfully increased soybean yield, but the genetic architecture of yield and key agronomic traits is poorly understood. We developed a 40-mating soybean nested association mapping (NAM) population of 5,600 inbred lines that were characterized by single nucleotide polymorphism (SNP) markers and six agronomic traits in field trials in 22 environments. Analysis of the yield, agronomic, and SNP data revealed 23 significant marker-trait associations for yield, 19 for maturity, 15 for plant height, 17 for plant lodging, and 29 for seed mass. A higher frequency of estimated positive yield alleles was evident from elite founder parents than from exotic founders, although unique desirable alleles from the exotic group were identified, demonstrating the value of expanding the genetic base of US soybean breeding.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Glycine max / Carácter Cuantitativo Heredable / Sitios de Carácter Cuantitativo Tipo de estudio: Prognostic_studies Idioma: En Revista: G3 (Bethesda) Año: 2018 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Glycine max / Carácter Cuantitativo Heredable / Sitios de Carácter Cuantitativo Tipo de estudio: Prognostic_studies Idioma: En Revista: G3 (Bethesda) Año: 2018 Tipo del documento: Article