An ecophysiologically based mapping model identifies a major pleiotropic QTL for leaf growth trajectories of Phaseolus vulgaris.

Autor: Wei K; Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China., Wang J; Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China., Sang M; Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China., Zhang S; Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China., Zhou H; Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China., Jiang L; Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China., Clavijo Michelangeli JA; Department of Horticultural Sciences, University of Florida, Gainesville, FL, 32611, USA., Vallejos CE; Department of Horticultural Sciences, University of Florida, Gainesville, FL, 32611, USA., Wu R; Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.; Center for Statistical Genetics, The Pennsylvania State University, Hershey, PA, 17033, USA.

Publikováno v: The Plant journal : for cell and molecular biology [Plant J] 2018 Jun 08. Date of Electronic Publication: 2018 Jun 08.

A Predictive Model for Time-to-Flowering in the Common Bean Based on QTL and Environmental Variables.

Autor: Bhakta MS; Horticultural Sciences Department, University of Florida, Gainesville, Florida 32611., Gezan SA; School of Forest Resources and Conservation, University of Florida, Gainesville, Florida 32611., Clavijo Michelangeli JA; Agronomy Department, University of Florida, Gainesville, Florida 32511., Carvalho M; School of Forest Resources and Conservation, University of Florida, Gainesville, Florida 32611., Zhang L; Agricultural and Biological Engineering Department, University of Florida, Gainesville, Florida 32611., Jones JW; Agricultural and Biological Engineering Department, University of Florida, Gainesville, Florida 32611., Boote KJ; Agronomy Department, University of Florida, Gainesville, Florida 32511., Correll MJ; Agricultural and Biological Engineering Department, University of Florida, Gainesville, Florida 32611., Beaver J; Department of Agro-Environmental Sciences, University of Puerto Rico, Mayaguez, Puerto Rico 00681-9000., Osorno JM; Plant Sciences Department, North Dakota State University, Fargo, North Dakota 58105., Colbert R; Plant Sciences Department, North Dakota State University, Fargo, North Dakota 58105., Rao I; International Center for Tropical Agriculture (CIAT), A. A. 6713, Cali, Colombia 763533., Beebe S; International Center for Tropical Agriculture (CIAT), A. A. 6713, Cali, Colombia 763533., Gonzalez A; Department of Agro-Environmental Sciences, University of Puerto Rico, Mayaguez, Puerto Rico 00681-9000., Ricaurte J; International Center for Tropical Agriculture (CIAT), A. A. 6713, Cali, Colombia 763533., Vallejos CE; Horticultural Sciences Department, University of Florida, Gainesville, Florida 32611 vallejos@ufl.edu.; Plant Molecular and Cellular Biology Graduate Program, University of Florida, Gainesville, Florida 32611.

Publikováno v: G3 (Bethesda, Md.) [G3 (Bethesda)] 2017 Dec 04; Vol. 7 (12), pp. 3901-3912. Date of Electronic Publication: 2017 Dec 04.

Development of a QTL-environment-based predictive model for node addition rate in common bean.

Autor: Zhang L; Agricultural and Biological Engineering Department, University of Florida, Gainesville, FL, 32611, USA., Gezan SA; School of Forest Resources and Conservation, University of Florida, Gainesville, FL, 32611, USA., Eduardo Vallejos C; Horticultural Sciences Department, University of Florida, Gainesville, FL, 32611, USA., Jones JW; Agricultural and Biological Engineering Department, University of Florida, Gainesville, FL, 32611, USA., Boote KJ; Agronomy Department, University of Florida, Gainesville, FL, 32611, USA., Clavijo-Michelangeli JA; Agronomy Department, University of Florida, Gainesville, FL, 32611, USA., Bhakta M; Horticultural Sciences Department, University of Florida, Gainesville, FL, 32611, USA., Osorno JM; Department of Plant Sciences, North Dakota State University, Fargo, ND, 58108, USA., Rao I; CIAT, Cali, Colombia., Beebe S; CIAT, Cali, Colombia., Roman-Paoli E; University of Puerto Rico, Mayagüez, 00682, Puerto Rico., Gonzalez A; University of Puerto Rico, Mayagüez, 00682, Puerto Rico., Beaver J; University of Puerto Rico, Mayagüez, 00682, Puerto Rico., Ricaurte J; CIAT, Cali, Colombia., Colbert R; Department of Plant Sciences, North Dakota State University, Fargo, ND, 58108, USA., Correll MJ; Agricultural and Biological Engineering Department, University of Florida, Gainesville, FL, 32611, USA. correllm@ufl.edu.

Publikováno v: TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik [Theor Appl Genet] 2017 May; Vol. 130 (5), pp. 1065-1079. Date of Electronic Publication: 2017 Mar 25.

Determination of coefficient defining leaf area development in different genotypes, plant types and planting densities in peanut ( Arachis hypogeae L.).

Autor: Halilou O; International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Sahelian Center, Niamey, Niger; Department of Biology, Faculty of Sciences, University Abdou Moumouni, Niamey, Niger., Hissene HM; Centre d'Etude Régional pour l'Amélioration de l'Adaptation à la Sécheresse, Thiès-Escale, Senegal., Clavijo Michelangeli JA; Department of Crop Sciences, North Carolina State University, Raleigh, NC 27695-7620, USA., Hamidou F; International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Sahelian Center, Niamey, Niger; Department of Biology, Faculty of Sciences, University Abdou Moumouni, Niamey, Niger., Sinclair TR; Department of Crop Sciences, North Carolina State University, Raleigh, NC 27695-7620, USA., Soltani A; Agronomy Group, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan 49138-15739, Iran., Mahamane S; Department of Biology, Faculty of Sciences, University Abdou Moumouni, Niamey, Niger., Vadez V; International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Greater Hyderabad 502324, Telangana, India.

Publikováno v: Field crops research [Field Crops Res] 2016 Dec; Vol. 199, pp. 42-51.

Combining ability analysis of yield and biomass allocation related traits in newly developed wheat populations.

Autor: Shamuyarira, Kwame W.¹ (AUTHOR) kwameswilson@yahoo.com, Shimelis, Hussein¹ (AUTHOR), Figlan, Sandiswa² (AUTHOR), Chaplot, Vincent^1,3 (AUTHOR)

Publikováno v: Scientific Reports. 7/22/2023, Vol. 13 Issue 1, p1-13. 13p.