Linking types of East Javanese rice farming systems to farmers' perceptions of complex rice systems

Complex rice systems (CRS) are polycultures in which rice is grown together with one or more plant or animal species using combined methods of practices from indigenous knowledge and modern science in augmenting ecological processes to foster ecosystem services in rice agroecosystems. However, their...

Full description

Bibliographic Details
Main Authors: Khumairoh, Uma, Teixeira, Heitor Mancini, Yadav, Sudhir, Schulte, Rogier P.O., Batas, Mary Ann, Asmara, Degi Harja, Flor, Rica Joy, Agustina, Rohmatin, Setiawan, Adi, Nurlaelih, Euis E., Purnomo, Mangku, Groot, Jeroen C.J.
Format: Journal Article
Language:Inglés
Published: Elsevier 2024
Online Access:https://hdl.handle.net/10568/163797
_version_ 1855535425496547328
author Khumairoh, Uma
Teixeira, Heitor Mancini
Yadav, Sudhir
Schulte, Rogier P.O.
Batas, Mary Ann
Asmara, Degi Harja
Flor, Rica Joy
Agustina, Rohmatin
Setiawan, Adi
Nurlaelih, Euis E.
Purnomo, Mangku
Groot, Jeroen C.J.
author_browse Agustina, Rohmatin
Asmara, Degi Harja
Batas, Mary Ann
Flor, Rica Joy
Groot, Jeroen C.J.
Khumairoh, Uma
Nurlaelih, Euis E.
Purnomo, Mangku
Schulte, Rogier P.O.
Setiawan, Adi
Teixeira, Heitor Mancini
Yadav, Sudhir
author_facet Khumairoh, Uma
Teixeira, Heitor Mancini
Yadav, Sudhir
Schulte, Rogier P.O.
Batas, Mary Ann
Asmara, Degi Harja
Flor, Rica Joy
Agustina, Rohmatin
Setiawan, Adi
Nurlaelih, Euis E.
Purnomo, Mangku
Groot, Jeroen C.J.
author_sort Khumairoh, Uma
collection Repository of Agricultural Research Outputs (CGSpace)
description Complex rice systems (CRS) are polycultures in which rice is grown together with one or more plant or animal species using combined methods of practices from indigenous knowledge and modern science in augmenting ecological processes to foster ecosystem services in rice agroecosystems. However, their implementation faces challenges due to farmers' knowledge gaps, high capital outlay and labour shortages. This study aims to link types of rice farming and farmer perceptions to facilitate recommendations to scale up CRS. We constructed a farm typology based on a survey of 111 farm households and aggregated cognitive maps (ACMs) based on fuzzy cognitive maps developed in focus group discussions in Malang and Lamongan, East Java Province, Indonesia. The farm typology classified farm households into three types: (a) small farms with high inputs of agrochemicals (SH, n = 29) which were all identified in Malang; (b) medium-size farms with high input intensity of agrochemicals (MH, n = 43), distributed across Malang and Lamongan; and (c) medium-size farms with low inputs of agrochemicals (ML, n = 39), all detected in Lamongan. ACMs revealed the differences in farmer group's perceptions on farm input-output relations, agroecosystems processes and CRS component interactions. SH and MH farmers prioritised economic benefits over ecosystem services and crop-livestock components. SH farmers were locked into high-input and high-output systems, while MH farmers failed to obtain high output despite high input use. Intervention schemes could be developed such as thorough training on economics for SH farmers and efficient use and on-farm production of fertilisers for MH farmers. Meanwhile, with the majority of ML farmers having adopted CRS, their priorities were more evenly distributed across all components, implying their more holistic understanding of the interacted components. However, technical assistance on agronomic, post-harvest management and marketing were still considered to be needed to ensure a long-term sustainability of CRS practices by ML farmers. Combining farm typology and fuzzy cognitive mapping could facilitate a comprehensive understanding of farming system types, their characteristics and farmer perceptions as a key to formulate appropriate interventions for a specific farm type. Therefore, these methodological approaches could provide guidance to accelerate transitions toward complex agroecosystems.
format Journal Article
id CGSpace163797
institution CGIAR Consortium
language Inglés
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher Elsevier
publisherStr Elsevier
record_format dspace
spelling CGSpace1637972024-12-20T06:19:39Z Linking types of East Javanese rice farming systems to farmers' perceptions of complex rice systems Khumairoh, Uma Teixeira, Heitor Mancini Yadav, Sudhir Schulte, Rogier P.O. Batas, Mary Ann Asmara, Degi Harja Flor, Rica Joy Agustina, Rohmatin Setiawan, Adi Nurlaelih, Euis E. Purnomo, Mangku Groot, Jeroen C.J. Complex rice systems (CRS) are polycultures in which rice is grown together with one or more plant or animal species using combined methods of practices from indigenous knowledge and modern science in augmenting ecological processes to foster ecosystem services in rice agroecosystems. However, their implementation faces challenges due to farmers' knowledge gaps, high capital outlay and labour shortages. This study aims to link types of rice farming and farmer perceptions to facilitate recommendations to scale up CRS. We constructed a farm typology based on a survey of 111 farm households and aggregated cognitive maps (ACMs) based on fuzzy cognitive maps developed in focus group discussions in Malang and Lamongan, East Java Province, Indonesia. The farm typology classified farm households into three types: (a) small farms with high inputs of agrochemicals (SH, n = 29) which were all identified in Malang; (b) medium-size farms with high input intensity of agrochemicals (MH, n = 43), distributed across Malang and Lamongan; and (c) medium-size farms with low inputs of agrochemicals (ML, n = 39), all detected in Lamongan. ACMs revealed the differences in farmer group's perceptions on farm input-output relations, agroecosystems processes and CRS component interactions. SH and MH farmers prioritised economic benefits over ecosystem services and crop-livestock components. SH farmers were locked into high-input and high-output systems, while MH farmers failed to obtain high output despite high input use. Intervention schemes could be developed such as thorough training on economics for SH farmers and efficient use and on-farm production of fertilisers for MH farmers. Meanwhile, with the majority of ML farmers having adopted CRS, their priorities were more evenly distributed across all components, implying their more holistic understanding of the interacted components. However, technical assistance on agronomic, post-harvest management and marketing were still considered to be needed to ensure a long-term sustainability of CRS practices by ML farmers. Combining farm typology and fuzzy cognitive mapping could facilitate a comprehensive understanding of farming system types, their characteristics and farmer perceptions as a key to formulate appropriate interventions for a specific farm type. Therefore, these methodological approaches could provide guidance to accelerate transitions toward complex agroecosystems. 2024-06 2024-12-19T12:53:02Z 2024-12-19T12:53:02Z Journal Article https://hdl.handle.net/10568/163797 en Open Access Elsevier Khumairoh, Uma; Teixeira, Heitor Mancini; Yadav, Sudhir; Schulte, Rogier P.O.; Batas, Mary Ann; Asmara, Degi Harja; Flor, Rica Joy; Agustina, Rohmatin; Setiawan, Adi; Nurlaelih, Euis E.; Purnomo, Mangku and Groot, Jeroen C.J. 2024. Linking types of East Javanese rice farming systems to farmers' perceptions of complex rice systems. Agricultural Systems, Volume 218 p. 104008
spellingShingle Khumairoh, Uma
Teixeira, Heitor Mancini
Yadav, Sudhir
Schulte, Rogier P.O.
Batas, Mary Ann
Asmara, Degi Harja
Flor, Rica Joy
Agustina, Rohmatin
Setiawan, Adi
Nurlaelih, Euis E.
Purnomo, Mangku
Groot, Jeroen C.J.
Linking types of East Javanese rice farming systems to farmers' perceptions of complex rice systems
title Linking types of East Javanese rice farming systems to farmers' perceptions of complex rice systems
title_full Linking types of East Javanese rice farming systems to farmers' perceptions of complex rice systems
title_fullStr Linking types of East Javanese rice farming systems to farmers' perceptions of complex rice systems
title_full_unstemmed Linking types of East Javanese rice farming systems to farmers' perceptions of complex rice systems
title_short Linking types of East Javanese rice farming systems to farmers' perceptions of complex rice systems
title_sort linking types of east javanese rice farming systems to farmers perceptions of complex rice systems
url https://hdl.handle.net/10568/163797
work_keys_str_mv AT khumairohuma linkingtypesofeastjavanesericefarmingsystemstofarmersperceptionsofcomplexricesystems
AT teixeiraheitormancini linkingtypesofeastjavanesericefarmingsystemstofarmersperceptionsofcomplexricesystems
AT yadavsudhir linkingtypesofeastjavanesericefarmingsystemstofarmersperceptionsofcomplexricesystems
AT schulterogierpo linkingtypesofeastjavanesericefarmingsystemstofarmersperceptionsofcomplexricesystems
AT batasmaryann linkingtypesofeastjavanesericefarmingsystemstofarmersperceptionsofcomplexricesystems
AT asmaradegiharja linkingtypesofeastjavanesericefarmingsystemstofarmersperceptionsofcomplexricesystems
AT florricajoy linkingtypesofeastjavanesericefarmingsystemstofarmersperceptionsofcomplexricesystems
AT agustinarohmatin linkingtypesofeastjavanesericefarmingsystemstofarmersperceptionsofcomplexricesystems
AT setiawanadi linkingtypesofeastjavanesericefarmingsystemstofarmersperceptionsofcomplexricesystems
AT nurlaeliheuise linkingtypesofeastjavanesericefarmingsystemstofarmersperceptionsofcomplexricesystems
AT purnomomangku linkingtypesofeastjavanesericefarmingsystemstofarmersperceptionsofcomplexricesystems
AT grootjeroencj linkingtypesofeastjavanesericefarmingsystemstofarmersperceptionsofcomplexricesystems