Assessment of season-long specialists’ training on climate smart agriculture in selected municipalities of Isabela, Philippines

Paper Details

Research Paper 01/06/2020
Views (400) Download (30)
current_issue_feature_image
publication_file

Assessment of season-long specialists’ training on climate smart agriculture in selected municipalities of Isabela, Philippines

Myraly L Marcos
J. Bio. Env. Sci.16( 6), 12-22, June 2020.
Certificate: JBES 2020 [Generate Certificate]

Abstract

This study was conducted to determine the demographic profile of the farmers-adopters and non- adopters of the Season-long Specialists’ Training on Climate Smart Agriculture (CSA), evaluate the farm productivity of the adopters and non- adopters, identify the effects of the program to the farming operations and socio-economic conditions of adopters, and to determine the problems and constraints confronting the farmers in dealing with the season-long training. The study was confined at different barangays of San Mateo and Cabatuan, Isabela, Philippines observations and the used of semi-structured questionnaires for the personal interviews with the respondents were applied. Microsoft Excel, SPSS, Front41 and Minitab statistical packages were used for encoding and analysis of data. Descriptive analyses were frequency counts, percentages and means. Inferential statistics were employed like stochastic frontier analysis (SFA), chi-square and Z – test. There were 150 farmers’ respondents in which 113 were participants of the season-long training and 37 were non- participants from that 101 were adopters and 49 were non-adopters. The result of the study revealed that yield of rice, gross income of rice, total farm labor cost, seeds quantity of rice were the variables generally affecting the household income of the respondents. During the year 2014, there was a high significant difference at 5% and 1% degree of level on the income of adopters and non-adopters which the mean difference was ₱12, 375.38. At the same time, there was a high significant difference at 5% and 1% degree of level on the yield in cavans of adopters and non-adopters which the mean yield was 102.72 cavans.

VIEWS 31

Andriesse E. 2018. Primary sector value chains, poverty reduction, and rural development challenges in the Philippines. Geographical Review 108(3), pp. 345-366.

Chandra A, Dargusch P, McNamara KE, Caspe AM, Dalabajan D. 2017. A study of climate-smart farming practices and climate-resiliency field schools in Mindanao, the Philippines. World Development 98, pp. 214-230.

Chandra A, McNamara KE, Dargusch P. 2018. Climate-smart agriculture: perspectives and framings. Climate Policy 18(4), pp.526-541.

Cruz A, Navarro R, Tabing L. 2016. Climate change reporting for rural broadcasters Engaging rural media for community mobilization on climate-smart agriculture in the Philippines.

Guido Z, Knudson C, Campbell D, Tomlinson J. 2019. Climate information services for adaptation: what does it mean to know the context?. Climate and Development pp.1-13.

Harvey CA, Chacón M, Donatti CI, Garen E, Hannah L, Andrade A, Bede L, Brown D, Calle A, Chara J, Clement C. 2014. Climate‐smart landscapes: opportunities and challenges for integrating adaptation and mitigation in tropical agriculture. Conservation Letters 7(2), pp. 77-90.

Lopez-Ridaura S, Frelat R, van Wijk MT, Valbuena D, Krupnik TJ, Jat ML. 2018. Climate smart agriculture, farm household typologies and food security: an ex-ante assessment from Eastern India. Agricultural systems 159, pp. 57-68.

Mango N, Makate C, Tamene L, Mponela P, Ndengu G. 2018. Adoption of small-scale irrigation farming as a climate-smart agriculture practice and its influence on household income in the Chinyanja Triangle, Southern Africa. Land 7(2), p. 49.

Ngoma H, Angelsen A, Carter S, Roman-Cuesta RM. 2018. Climate-smart agriculture. Transforming REDD p. 175.

Paulino MA, Amora JT. 2019. Towards the Development of a Crop Productivity Model. Review of Integrative Business and Economics Research 8, 412-422.

Thakur AK, Uphoff NT. 2017. How the system of rice intensification can contribute to climate-smart agriculture. Agronomy Journal 109(4), pp. 1163-1182.

Totin E, Segnon AC, Schut M, Affognon H, Zougmoré RB, Rosenstock T, Thornton PK. 2018. Institutional perspectives of climate-smart agriculture: A systematic literature review. Sustainability 10(6), p. 1990.