Farmers’ Preferences and Agronomic Evaluation of Dynamic Mixtures of Rice and Bean in Nepal

Field trials of rice and bean dynamic mixtures were carried out in low input and hill farming systems of Nepal from 2019 to 2021 to improve productivity and resilience. The rice trials were conducted in two locations (Jumla and Lamjung) and those on bean in Jumla, using a randomized complete block design with three replications. Dynamic mixtures were constructed from landraces, improved varieties and breeding lines for both crops. A total of 48 bean entries were used in Jumla, whereas 56 and 66 rice entries were used to make location-specific dynamic mixtures in Lamjung and Jumla, respectively. They were formed by mixing diverse varieties as a strategy to maintain a broad genetic base. Farmers (men and women) and technicians selected from the most complex mixture and the selections were added to the trials starting from second year. In rice, some mixtures and selections from the mixtures gave grain yield comparable to the improved check and higher than the local checks. In the case of bean, differences between entries were not significant but some of the selections received a high preference score. Overall, the dynamic mixtures appear as a reliable material for sustainable increase in yield in the low input and hill farming system of Nepal.

[1]  A. Power,et al.  Cereal species mixtures: an ancient practice with potential for climate resilience. A review , 2022, Agronomy for Sustainable Development.

[2]  S. Ceccarelli,et al.  Participatory Evaluation of Rice Varieties for Specific Adaptation to Organic Conditions in Italy , 2022, Sustainability.

[3]  G. Laidò,et al.  Importance of Landraces in Cereal Breeding for Stress Tolerance , 2021, Plants.

[4]  A. Carter,et al.  Utilization of Evolutionary Plant Breeding Increases Stability and Adaptation of Winter Wheat Across Diverse Precipitation Zones , 2020, Sustainability.

[5]  S. Ceccarelli,et al.  Evolutionary Plant Breeding as a Response to the Complexity of Climate Change , 2020, iScience.

[6]  S. Ceccarelli,et al.  Yield, yield stability and farmers’ preferences of evolutionary populations of bread wheat: A dynamic solution to climate change , 2020 .

[7]  B. Joshi,et al.  Concept and rationale of evolutionary plant breeding and its status in Nepal , 2020, Journal of Agriculture and Forestry University.

[8]  S. Ceccarelli,et al.  The increased use of more diversity in cereal cropping requires more descriptive precision. , 2020, Journal of the science of food and agriculture.

[9]  T. Winge,et al.  Farmers and Plant Breeding , 2019 .

[10]  J. Casals,et al.  Participatory Plant Breeding and the Evolution of Landraces: A Case Study in the Organic Farms of the Collserola Natural Park , 2019, Agronomy.

[11]  S. Ceccarelli,et al.  Participatory plant breeding: Who did it, who does it and where? , 2019, Experimental Agriculture.

[12]  M. E. Pè,et al.  Joining smallholder farmers’ traditional knowledge with metric traits to select better varieties of Ethiopian wheat , 2017, Scientific Reports.

[13]  X. Le Roux,et al.  Designing mixtures of varieties for multifunctional agriculture with the help of ecology. A review , 2017, Agronomy for Sustainable Development.

[14]  S. Ceccarelli,et al.  Evolutionary breeding for sustainable agriculture: selection and multi-environmental evaluation of barley populations and lines. , 2017 .

[15]  J. Prohens,et al.  Toward an Evolved Concept of Landrace , 2017, Front. Plant Sci..

[16]  I. Kavakli,et al.  Molecular Approaches to Genetic Diversity , 2015 .

[17]  C. R. Upreti,et al.  Use of Rice Straw and Black Gram Straw in Fodder Based Goat's Diets in the Hills of Nepal , 2014 .

[18]  C. Leuschner,et al.  Dramatic losses of specialist arable plants in Central Germany since the 1950s/60s – a cross‐regional analysis , 2013 .

[19]  T. Döring,et al.  Evolutionary Plant Breeding in Cereals—Into a New Era , 2011 .

[20]  Brian R. Cullis,et al.  On the design of early generation variety trials with correlated data , 2006 .

[21]  M. Wolfe,et al.  Evolutionary plant breeding for low input systems , 2005, The Journal of Agricultural Science.

[22]  S. Polasky,et al.  Agricultural sustainability and intensive production practices , 2002, Nature.

[23]  Weikai Yan.  GGEbiplot—A Windows Application for Graphical Analysis of Multienvironment Trial Data and Other Types of Two-Way Data , 2001 .

[24]  S. Ceccarelli,et al.  Environment of selection and type of germplasm in barley breeding for low-yielding conditions , 1991, Euphytica.

[25]  C. Mundt,et al.  Mixing ability analysis of wheat cultivar mixtures under diseased and nondiseased conditions , 1990, Theoretical and Applied Genetics.

[26]  L. Drinkwater,et al.  Cultivar mixtures: a meta-analysis of the effect of intraspecific diversity on crop yield. , 2018, Ecological applications : a publication of the Ecological Society of America.

[27]  S. Ceccarelli.  Evolution, plant breeding and biodiversity , 2009 .

[28]  M. Wolfe.  The Current Status and Prospects of Multiline Cultivars and Variety Mixtures for Disease Resistance , 1985 .

[29]  B. Trenbath,et al.  Biomass Productivity of Mixtures , 1974 .