Understanding effects of genotype x environment x sowing window interactions for durum wheat in the Mediterranean basin

被引:15
|
作者
Padovan, Gloria [1 ]
Martre, Pierre [2 ]
Semenov, Mikhail A. [3 ]
Masoni, Alberto [1 ]
Bregaglio, Simone [4 ]
Ventrella, Domenico [5 ]
Lorite, Ignacio J. [6 ]
Santos, Cristina [6 ]
Bindi, Marco [1 ]
Ferrise, Roberto [1 ]
Dibari, Camilla [1 ]
机构
[1] Univ Florence, Dept Agr Food Environm & Forestry DAGRI, Piazzale Cascine 18, I-50144 Florence, Italy
[2] Univ Montpellier, LEPSE, INRAE, Montpellier SupAgro, F-34060 Montpellier, France
[3] Rothamsted Res, West Common, Harpenden AL5 2JQ, Herts, England
[4] Res Ctr Agr & Environm CREA AA, Council Agr Res & Econ, Via Corticella 133, I-40128 Bologna, Italy
[5] Res Ctr Agr & Environm CREA AA, Council Agr Res & Econ, Via Celso Ulpiani 5, I-70125 Bari, Italy
[6] Ctr Alameda del Obispo, Andalusian Inst Agr Res & Training IFAPA, Cordoba, Spain
基金
英国生物技术与生命科学研究理事会; 欧盟地平线“2020”;
关键词
SiriusQuality; Sowing window; Mediterranean environments; Durum wheat; RADIATION-USE EFFICIENCY; PROTEIN-CONTENT; PLANTING DATE; WINTER-WHEAT; CERES-WHEAT; CLIMATE; YIELD; SIMULATION; WATER; GROWTH;
D O I
10.1016/j.fcr.2020.107969
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Durum wheat is one of the most important crops in the Mediterranean basin. The choice of the cultivar and the sowing time are key management practices that ensure high yield. Crop simulation models could be used to investigate the genotype x environment x sowing window (G x ExSW) interactions in order to optimize farmers' actions. The aim of this study was to evaluate the performance of the wheat model SiriusQuality in simulating durum wheat yields in Mediterranean environments and its potential to explore the G x ExSW interactions. SiriusQuality was assessed in multiple growing seasons at seven sites located in Italy, Spain and Morocco, where locally adapted cultivars were grown. The model showed good ability in predicting anthesis and maturity date (Pearson r >0.8), as well as above ground biomass and grain yield (6 % < nRMSE < 18 %). The model was then used to find the optimal 30-day sowing window to maximize grain yields at four sites, two were located in Italy (Florence, Foggia), and the other two were in Spain (Santaella) and Morocco (Sidi El Aydi) respectively. Among the cultivars, on the average between all sowing window, Amilcar had the best performance in Foggia (+33 % compared to the traditional cultivar Simeto) and in Sidi El Aydi (+22 % compared to Karim), Karim in Florence (+19 % compared to Creso) and in Santaella (+6 % compared to Amilcar). Instead Creso and Simeto showed the lowest production at all locations. The results showed that an earlier sowing window compared to the traditional one would have a positive effect on wheat yields in all environments tested, because of increased maximum leaf area index, grain number and size, and grain filling duration. Moreover, with earlier sowing, grain filling coincides with higher soil water availability, reducing the water stress and increasing the accumulation of dry mass in grains. In cooler and wetter locations, cultivars characterized by higher leaf area index and radiation use efficiency had the higher number of grains, while in the hottest and driest locations, short-cycle cultivars with high grain dry matter potential (e.g. through enhanced "stay green" capacity) should be preferred.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Analysis of Genotype x Environment Interactions for Grain Yield in Durum Wheat
    Mohammadi, Reza
    Amri, Ahmed
    CROP SCIENCE, 2009, 49 (04) : 1177 - 1186
  • [2] Path analysis of genotype x environment interactions in rainfed durum wheat
    Mohammadi, Reza
    Farshadfar, Ezatollah
    Amri, Ahmed
    PLANT PRODUCTION SCIENCE, 2016, 19 (01) : 43 - 50
  • [3] Interpreting genotype x environment interactions for grain yield of rainfed durum wheat in Iran
    Mohammadi, Reza
    Farshadfar, Ezatollah
    Amri, Ahmed
    CROP JOURNAL, 2015, 3 (06): : 526 - 535
  • [4] Examination of genotype x environment interactions by GGE biplot analysis in spring durum wheat
    Kendal, Enver
    Sener, Okan
    INDIAN JOURNAL OF GENETICS AND PLANT BREEDING, 2015, 75 (03) : 341 - 348
  • [5] Gene x gene and genotype x environment interactions in wheat
    Raffo, Miguel A.
    Jensen, Just
    CROP SCIENCE, 2023, 63 (04) : 1779 - 1793
  • [6] Interpreting genotype x environment interactions for durum wheat grain yields using nonparametric methods
    Mohammadi, Reza
    Abdulahi, Abdolvahab
    Haghparast, Reza
    Armion, Mohammad
    EUPHYTICA, 2007, 157 (1-2) : 239 - 251
  • [7] Optimising sowing date of durum wheat in a variable Mediterranean environment
    Bassu, Simona
    Asseng, Senthold
    Motzo, Rosella
    Giunta, Francesco
    FIELD CROPS RESEARCH, 2009, 111 (1-2) : 109 - 118
  • [8] Biological interpretation of genotype x environment interaction in rainfed durum wheat
    Mohammadi, R.
    Sadeghzadeh, B.
    Ahmadi, M. M.
    Amri, A.
    CEREAL RESEARCH COMMUNICATIONS, 2020, 48 (04) : 547 - 554
  • [9] Genotype x Environment Interactions and Stability in Organic Wheat
    Kucek, Lisa Kissing
    Santantonio, Nicholas
    Gauch, Hugh G.
    Dawson, Julie C.
    Mallory, Ellen B.
    Darby, Heather M.
    Sorrells, Mark E.
    CROP SCIENCE, 2019, 59 (01) : 25 - 32
  • [10] Genotype x environment interactions for root depth of wheat
    Acuna, T. L. Botwright
    Wade, L. J.
    FIELD CROPS RESEARCH, 2012, 137 : 117 - 125