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Effect of improved high yielding rice variety on farmers productivity in MADA, Malaysia

Worldwide, technological change in rice production has given in an era of agricultural development and increased productivity performance. However, such performance appears to be unevenly distributed among farmers. Though, with new technologies introduced in Malaysia, development is premised on the...

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Main Authors: Adedoyin, Abiola Olapeju, Shamsudin, Mad Nasir, Radam, Alias, Abd. Latif, Ismail
Format: Article
Language:English
Published: Meghana Publications 2016
Online Access:http://psasir.upm.edu.my/id/eprint/56459/1/Effect%20of%20improved%20high%20yielding%20rice%20variety%20on%20farmers%20productivity%20in%20MADA%2C%20Malaysia.pdf
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spelling oai:psasir.upm.edu.my:56459 http://psasir.upm.edu.my/id/eprint/56459/ Effect of improved high yielding rice variety on farmers productivity in MADA, Malaysia Adedoyin, Abiola Olapeju Shamsudin, Mad Nasir Radam, Alias Abd. Latif, Ismail Worldwide, technological change in rice production has given in an era of agricultural development and increased productivity performance. However, such performance appears to be unevenly distributed among farmers. Though, with new technologies introduced in Malaysia, development is premised on the recognition that low productivity is a major cause of the lack of advancement in the rice sector. There was no significant improvement in yield as the average farm yields varies from 3-5 tons per hectare below the neighbouring countries such as Vietnam and Indonesian at 5.5 and 4.9 tons per hectare respectively. Therefore, this study examined social-economic factors influencing the use of improved high yielding varieties and its’ impact level on rice yield in MADA, Malaysia. A total sampling size of 396 rice farmers were selected using a multistage random sampling through a well-structured questionnaire. The findings re-affirmed the claim that socio-economic factors such as education, experience, and farm size were the factors influencing the adoption of improved high yielding varieties. There exist upward neutral shifts in production function when MR 263, MR 220CL1 and MR 220CL2 are used by 1.5 times more yield compared to local varieties. It may be concluded that the improved high yielding varieties of seed are more important and beneficial for the productivity of rice. Therefore, the study suggested that extension agents in the area as a whole need to be improved on various ways used in disseminating improved high yield varieties to farmers. The strategies for rice technology transfer to farmers should be specially packaged. Meghana Publications 2016 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/56459/1/Effect%20of%20improved%20high%20yielding%20rice%20variety%20on%20farmers%20productivity%20in%20MADA%2C%20Malaysia.pdf Adedoyin, Abiola Olapeju and Shamsudin, Mad Nasir and Radam, Alias and Abd. Latif, Ismail (2016) Effect of improved high yielding rice variety on farmers productivity in MADA, Malaysia. International Journal of Agricultural Sciences and Veterinary Medicine, 4 (1). pp. 38-52. ISSN 2320-3730 https://www.ijasvm.com/previousissue.php?year=2016&issue=1
institution UPM IR
collection UPM IR
language English
description Worldwide, technological change in rice production has given in an era of agricultural development and increased productivity performance. However, such performance appears to be unevenly distributed among farmers. Though, with new technologies introduced in Malaysia, development is premised on the recognition that low productivity is a major cause of the lack of advancement in the rice sector. There was no significant improvement in yield as the average farm yields varies from 3-5 tons per hectare below the neighbouring countries such as Vietnam and Indonesian at 5.5 and 4.9 tons per hectare respectively. Therefore, this study examined social-economic factors influencing the use of improved high yielding varieties and its’ impact level on rice yield in MADA, Malaysia. A total sampling size of 396 rice farmers were selected using a multistage random sampling through a well-structured questionnaire. The findings re-affirmed the claim that socio-economic factors such as education, experience, and farm size were the factors influencing the adoption of improved high yielding varieties. There exist upward neutral shifts in production function when MR 263, MR 220CL1 and MR 220CL2 are used by 1.5 times more yield compared to local varieties. It may be concluded that the improved high yielding varieties of seed are more important and beneficial for the productivity of rice. Therefore, the study suggested that extension agents in the area as a whole need to be improved on various ways used in disseminating improved high yield varieties to farmers. The strategies for rice technology transfer to farmers should be specially packaged.
format Article
author Adedoyin, Abiola Olapeju
Shamsudin, Mad Nasir
Radam, Alias
Abd. Latif, Ismail
spellingShingle Adedoyin, Abiola Olapeju
Shamsudin, Mad Nasir
Radam, Alias
Abd. Latif, Ismail
Effect of improved high yielding rice variety on farmers productivity in MADA, Malaysia
author_facet Adedoyin, Abiola Olapeju
Shamsudin, Mad Nasir
Radam, Alias
Abd. Latif, Ismail
author_sort Adedoyin, Abiola Olapeju
title Effect of improved high yielding rice variety on farmers productivity in MADA, Malaysia
title_short Effect of improved high yielding rice variety on farmers productivity in MADA, Malaysia
title_full Effect of improved high yielding rice variety on farmers productivity in MADA, Malaysia
title_fullStr Effect of improved high yielding rice variety on farmers productivity in MADA, Malaysia
title_full_unstemmed Effect of improved high yielding rice variety on farmers productivity in MADA, Malaysia
title_sort effect of improved high yielding rice variety on farmers productivity in mada, malaysia
publisher Meghana Publications
publishDate 2016
url http://psasir.upm.edu.my/id/eprint/56459/1/Effect%20of%20improved%20high%20yielding%20rice%20variety%20on%20farmers%20productivity%20in%20MADA%2C%20Malaysia.pdf
_version_ 1819297647178022912
score 13.4562235

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