Identifying superior wheat cultivars in participatory research on resource poor farms

Thapa, Dhruba Bahadur; Sharma, R. C.; Mudwari, Ashok; Ortiz-Ferrara, G.; Sharma, Sunita; Basnet, Roshan; Witcombe, J. R.; Virk, D. S.; Joshi, K.D.

doi:10.1016/j.fcr.2009.01.011

Cited by 32 publications

(27 citation statements)

References 18 publications

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“…Similar findings were reported by Thapa et al (2009) (BLOUK #1/4/WHEAR/KUKUNA/3/C80.1/3*BATAVIA//2*WBLL1/5/ MUNAL #1), Vijay and Gautam were the most important genotypes for showing excellent performance among the studied lines on grain yield and its attributes. Grain yield had strong and positive correlation with its attributing traits.…”

Section: Correlation Analysissupporting

confidence: 76%

Evaluation of Elite Spring Wheat (Triticum aestivum L.) Genotypes for Yield and Yield Attributing Traits under Irrigated Condition

Bhattarai

Ojha

Thapa

et al. 2017

Int J Appl Sci Biotechnol

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Thirty International Maize and Wheat Improvement Centre (CIMMYT) elite lines and Nepalese commercial wheat varieties were grown at Agriculture and Forestry University, Chitwan in Alpha-lattice design to identify high yielding genotypes, yield attributing parameters and correlations between them. Observations were taken for different morpho-physiological and yield attributing traits i.e., days to booting, heading, anthesis, maturity, flag leaf senescence, flag leaf duration, grain filling duration, plant height, spike length, number of grains per spike, thousand kernel weight, hectoliter weight, grain yield and biomass yield. Significant genotypic differences were observed for all the traits studied indicating considerable amount of variation among genotypes for each character. The mean grain yield was 2148 kg/ha and it ranged from 1000 to 3425 kg/ha.

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Section: Correlation Analysissupporting

confidence: 76%

Evaluation of Elite Spring Wheat (Triticum aestivum L.) Genotypes for Yield and Yield Attributing Traits under Irrigated Condition

Bhattarai

Ojha

Thapa

et al. 2017

Int J Appl Sci Biotechnol

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“…Participatory crop improvement methods argue instead for a bottom-up approach to better integrate farmers’ preferences into breeding 17–19 . In participatory approaches, farmers identify their preferred germplasm among collections of genotypes that are either landraces, MVs or nearly finished varieties.…”

Section: Introductionmentioning

confidence: 99%

Joining smallholder farmers’ traditional knowledge with metric traits to select better varieties of Ethiopian wheat

Mancini

Kidane

Mengistu

et al. 2017

Sci Rep

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Smallholder farming communities face highly variable climatic conditions that threaten locally adapted, low-input agriculture. The benefits of modern crop breeding may fail to reach their fields when broadly adapted genetic materials do not address local requirements. To date, participatory methods only scratched the surface of the exploitability of farmers’ traditional knowledge in breeding. In this study, 30 smallholder farmers in each of two locations in Ethiopia provided quantitative evaluations of earliness, spike morphology, tillering capacity and overall quality on 400 wheat genotypes, mostly traditional varieties, yielding altogether 192,000 data points. Metric measurements of ten agronomic traits were simultaneously collected, allowing to systematically break down farmers’ preferences on quantitative phenotypes. Results showed that the relative importance of wheat traits differed by gender and location. Farmer traits were variously contributed by metric traits, and could only partially be explained by them. Eventually, farmer trait values were used to produce a ranking of the 400 wheat varieties identifying the trait combinations most desired by farmers. The study scale and methods lead to a better understanding of the quantitative basis of Ethiopian smallholder farmer preference in wheat, broadening the discussion for the future of local, sustainable breeding efforts accommodating farmers’ knowledge.

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“…The trials were conducted during January 2015 to April 2016. Data were collected through farmers' scores as described by Thapa et al (2009) and Virk et al (2009). Participants scored the varieties based on their preference and overall observation of each variety.…”

Section: Data Collection and Analysismentioning

confidence: 99%

“…Often PVS trials are conducted under farmers' own fields based on their own management conditions (Tiwari et al, 2009). Due to its advantage in providing detailed information about the needs of the farmers on the newly developed varieties, this technique has been widely used (Thapa et al, 2009). Therefore, the objective of this study was to select elite cowpea varieties that meet farmers' needs and preferences using farmers' participation, indigenous knowledge and breeders' scientific approach.…”

Section: Introductionmentioning

confidence: 99%

Participatory varietal selection among elite cowpea genotypes in northern Namibia

Horn

Ghebrehiwot

Sarsu

et al. 2017

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The objective of this study was to select cowpea [Vigna unguiculata (L.) Walp.] varieties that meet farmers' needs in Namibia, from a set of newly developed and elite cowpea varieties developed through gamma irradiation. Thirty four candidate mutant cowpea varieties derived from three local varieties, (Shindimba, Bira and Nakare), were evaluated for nine agronomic traits. The new genotypes descended from Bira were favourably selected by all participants for their best plant cover. The genotype L1P12 (Bi450) was preferred by 81 percent percent of farmers for its higher pod setting ability. The genotype R4P5 (Nk150) with longer pod size and R3P1 (Bi600) with early maturity were ideal candidates preferred by nearly all farmers. The present study has identified farmers' most-preferred cowpea varieties selected for their best agronomic performances and drought tolerance. These selected cowpea genotype lines will further be subjected to distinct, uniformity and stability trials for varietal registration and release.

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Identifying superior wheat cultivars in participatory research on resource poor farms

Cited by 32 publications

References 18 publications

Evaluation of Elite Spring Wheat (Triticum aestivum L.) Genotypes for Yield and Yield Attributing Traits under Irrigated Condition

Evaluation of Elite Spring Wheat (Triticum aestivum L.) Genotypes for Yield and Yield Attributing Traits under Irrigated Condition

Joining smallholder farmers’ traditional knowledge with metric traits to select better varieties of Ethiopian wheat

Participatory varietal selection among elite cowpea genotypes in northern Namibia

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