Journal of Innovative Agriculture, Volume 8, Issue 2 : 29-33. Doi : 10.37446/jinagri/rsa/8.2.2021.29-33
Research Article

OPEN ACCESS | Published on : 30-Jun-2021

On-farm assessment of the improved legumes

  • Darya Khan Akbarzai
  • International Center for Agricultural Research in the Dry Areas (ICARDA), Kabul, Afghanistan.
  • Lina Mohammadi
  • International Center for Agricultural Research in the Dry Areas (ICARDA), Kabul, Afghanistan.

Abstract

Nutritional food security is essential for the growing population of Afghanistan. Legumes, such as chickpea, lentil and mung beans are important sources of food protein. Enhancing production of legumes is a natural option to provide health to its consumers and employment to agrarian families engaged in its cultivation. While developing the breeding methods for new seeds adapted to Afghanistan environments must continue, evaluation of a number of already improved varieties was found an immediate alternative to the low yielding farmer varieties. Over nine locations during 2014-15 and 2015-16, seven improved chickpea varieties were evaluated in 86 farmer fields, one improved lentil variety in 68 fields and one improved mung bean variety in 70 fields. The improved varieties were coupled with the recommended crop production practices. Of the seven improved chickpea varieties evaluated over the environments in the study, Australia was found having highest average yield mean of 1127 ± 107 kgha-1(tested over three locations) followed by FLIP-92 (753 ±37 kgha-1) while Sehat (372 ± 136 kgha-1) yielded the lowest. Among the locations, Deh Sabz had highest yield level of 2341 kg ha-1based on FLIP-92 and FLIP-95. The lentil Kushak-1 showed an average yield of 573 ± 260 kg ha-1 and mung bean variety Mash 2008 yielded 538 ± 273 kg ha-1. This on-farm trial provided an appraisal of yield levels of the selected improved legume varieties. However, evaluation of new improved legume varieties is regularly needed through on-farm trials to provide an evidence-based recommendation to farmers.

Keywords

on-farm trials, legumes, improved genotypes, food security, productivity risks

References

  • Asfaw, S., Shiferaw, B., Simtowe, F., & Lipper, L. (2012). Impact of modern agricultural technologies on smallholder welfare: Evidence from Tanzania and Ethiopia. Food policy, 37(3), 283-295.

    CSO, “Implementation Plan of National Strategy for Statistic,” Central Statistics Organization, Afghanistan, http://cso.gov.af/en/page/1500/4722/2016-17, 2017, (accessed 20 December 2018).

    Erskine, W., & Nesbitt, H. (2009). How can agriculture research make a difference in countries emerging from conflict?. Experimental Agriculture, 45(3), 313.

    FAO, “The State of Food Insecurity in the World,” Food and Agriculture Organization of the United Nations, http://www.fao.org/3/a-i4646e.pdf, 2015, (accessed 22 November 2018).

    FAOSTAT, “Food and agriculture data,” Food and Agriculture Organization of the United Nations, www.faostat.org, 2015, (accessed on 17 September 2017).

    FAOSTAT, “Food and agriculture data,” Food and Agriculture Organization of the United Nations, Error! Hyperlink reference not valid. 2016, (accessed on 17 September 2017).

    MAIL, “Statistical information,” MAIL, Kabul, https://mail.gov.af/en/page/3489/agricultural-prospect-reports, 2014, (accessed 17 September 2017).

    MPH, “National Nutrition Survey Afghanistan,” Ministry of Public Health, Kabul, available onhttps://reliefweb.int/report/afghanistan/national-nutrition-survey-afghanistan-2013, 2013, (accessed 20 December 2018).

    Okocha, P. I., & Asawalam, D. O. (2004). Continuing Provision of Inputs and Extension Support for Rice Farmers in Isuochi (Abia) and Afikpo (Ebonyi) States of Nigeria”, vol 17, “Experiences in Developing Capacity for Sustainable Development”, A TWAS – UNU / IAS – UNDP Publication.

    Ortiz-Ferrara, G., Joshi, A. K., Chand, R., Bhatta, M. R., Mudwari, A., Thapa, D. B., ... & Sharma, R. C. (2007). Partnering with farmers to accelerate adoption of new technologies in South Asia to improve wheat productivity. Euphytica, 157(3), 399-407.

    Rizvi, S., Sharma, R., Srinivas, T., Manan, A., Osmanzai, A., Siddiqui, S., ... & Rahmani, A. (2012). Comparative evaluation of local and improved crop varieties through farmers’ participation on resource-poor farms in Afghanistan. Acta Agronomica Hungarica, 60(1), 11-20.

    Sharma, R. C., & Duveiller, E. (2006). Farmer participatory evaluation confirms higher grain yields in spring wheat using a selection index for spot blotch resistance, maturity and kernel weight. Euphytica, 150(3), 307-317.

    Shiyani, R. L., Joshi, P. K., Asokan, M., & Bantilan, M. C. S. (2002). Adoption of improved chickpea varieties: KRIBHCO experience in tribal region of Gujarat, India. Agricultural Economics, 27(1), 33-39.

    Thapa, D. B., Sharma, R. C., Mudwari, A., Ortiz-Ferrara, G., Sharma, S., Basnet, R. K., ... & Joshi, K. D. (2009). Identifying superior wheat cultivars in participatory research on resource poor farms. Field Crops Research, 112(2-3), 124-130.

    VSN International, “The Guide to the Genstat Command Language (Release 18), Part 2 Statistics”, VSN International, Hemel Hempstead, UK, 2015.

    Witcombe, J. R., Joshi, K. D., Gyawali, S., Musa, A. M., Johansen, C., Virk, D. S., & Sthapit, B. R. (2005). Participatory plant breeding is better described as highly client-oriented plant breeding. I. Four indicators of client-orientation in plant breeding. Experimental Agriculture, 41(3), 299.

    Zou, C., Hu, X., Huang, W., Zhao, G., Yang, X., Jin, Y., ... & Xiong, K. (2019). Different yellowing degrees and the industrial utilization of flue-cured tobacco leaves. Scientia Agricola, 76(1), 1-9.

     

Statistics

  • No.of Views (421)
  • PDF Downloads (201)
;