Tracking the adoption of bread wheat varieties in Afghanistan using DNA fingerprinting

被引:16
|
作者
Dreisigacker, S. [1 ]
Sharma, R. K. [2 ]
Huttner, E. [3 ]
Karimov, A. [4 ]
Obaidi, M. Q. [5 ]
Singh, P. K. [1 ]
Sansaloni, C. [1 ]
Shrestha, R. [1 ]
Sonder, K. [1 ]
Braun, H-J [1 ]
机构
[1] Int Maize & Wheat Improvement Ctr CIMMYT, Km45 Carretera Mexico Veracruz, Texcoco 56237, Mexico
[2] CIMMYT, 118,Lane 3,West Bahristan Pk, Kabul, Afghanistan
[3] ACIAR, 38 Thynne St, Bruce, ACT 2617, Australia
[4] CIMMYT Turkey, PK 39 Emek, TR-06511 Ankara, Turkey
[5] ARIA, Badam Bagh Agr Res Farm, Kabul, Afghanistan
关键词
Afghanistan; DNA fingerprinting; Varietal adoption; Wheat;
D O I
10.1186/s12864-019-6015-4
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background: Wheat is the most important staple crop in Afghanistan and accounts for the main part of cereal production. However, wheat production has been unstable during the last decades and the country depends on seed imports. Wheat research in Afghanistan has emphasized releases of new, high-yielding and disease resistant varieties but rates of adoption of improved varieties are uncertain. We applied DNA fingerprinting to assess wheat varieties grown in farmers' fields in four Afghan provinces. Results: Of 560 samples collected from farmers' fields during the 2015-16 cropping season, 74% were identified as varieties released after 2000, which was more than the number reported by farmers and indicates the general prevalence of use of improved varieties, albeit unknowingly. At the same time, we found that local varieties and landraces have been replaced and were grown by 4% fewer farmers than previously reported. In 309 cases (58.5%), farmers correctly identified the variety they were growing, while in 219 cases (41.5%) farmers did not. We also established a reference library of released varieties, elite breeding lines, and Afghan landraces, which confirms the greater genetic diversity of the landraces and their potential importance as a genetic resource. Conclusions: Our study is the first in wheat to apply DNA fingerprinting at scale for an accurate assessment of wheat varietal adoption and our findings point up the importance of DNA fingerprinting for accuracy in varietal adoption studies.
引用
收藏
页数:13
相关论文
共 50 条
  • [21] Bioavailable Zinc in Grains of Bread Wheat Varieties of Pakistan
    Hussain, S.
    Maqsood, M. A.
    Miller, L. V.
    CEREAL RESEARCH COMMUNICATIONS, 2012, 40 (01) : 62 - 73
  • [22] INDIGENOUS BREAD WHEAT VARIETIES FROM NORTHERN NIGERIA
    ZEVEN, AC
    ACTA BOTANICA NEERLANDICA, 1974, 23 (02): : 137 - 144
  • [23] Investigation on Paste Property of Chinese Bread Wheat Varieties
    YAN Jun
    CIMMYT China Office
    AgriculturalSciencesinChina, 2002, (01) : 49 - 53
  • [24] Benchmarking analysis of CNN models for bread wheat varieties
    Ali Yasar
    European Food Research and Technology, 2023, 249 : 749 - 758
  • [25] Element Content in Different Wheat Flours and Bread Varieties
    Nerea Fernandez-Canto, Maria
    Belen Garcia-Gomez, Maria
    Boado-Crego, Sonia
    Lourdes Vazquez-Oderiz, Maria
    Nieves Munoz-Ferreiro, Maria
    Lombardero-Fernandez, Matilde
    Pereira-Lorenzo, Santiago
    Angeles Romero-Rodriguez, Maria
    FOODS, 2022, 11 (20)
  • [26] Bioavailable Zinc in Grains of Bread Wheat Varieties of Pakistan
    S. Hussain
    M. A. Maqsood
    L. V. Miller
    Cereal Research Communications, 2012, 40 : 62 - 73
  • [27] Bread wheat varieties as influenced by different nitrogen levels
    HUSSAIN Iqtidar
    KHAN Muhammad Ayyaz
    KHAN Ejaz Ahmad
    Journal of Zhejiang University Science, 2006, (01) : 70 - 78
  • [28] Effects of Bisphenol A and Tetrabromobisphenol A on Bread and Durum Wheat Varieties
    Dogan, Muhittin
    Korkunc, Medet
    Yumrutas, Onder
    EKOLOJI, 2012, 21 (85): : 114 - 122
  • [29] Heat tolerance of Portuguese old bread wheat varieties
    Scotti-Campos, P.
    Semedo, J. N.
    Pais, I.
    Oliveira, M.
    Passarinho, J.
    Ramalho, J. C.
    EMIRATES JOURNAL OF FOOD AND AGRICULTURE, 2014, 26 (02): : 170 - 179
  • [30] Benchmarking analysis of CNN models for bread wheat varieties
    Yasar, Ali
    EUROPEAN FOOD RESEARCH AND TECHNOLOGY, 2023, 249 (03) : 749 - 758