Assessment of maize yield gap and major determinant factors between smallholder farmers in the Dedza district of Malawi
This study explored the effect of soil nutrient status, agronomic practices and socio-economic factors on maize yield attained by smallholder farmers in the Dedza District of Malawi. Results show that maize yield ranged between 0.4 and 12 t ha −1 with a mean value of 4.1 t ha −1 . Observed high yiel...
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| Veröffentlicht in: | Nutrient cycling in agroecosystems 2016-07, Vol.105 (3), p.291-308 |
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| creator | Tamene, Lulseged Mponela, Powell Ndengu, Gift Kihara, Job |
| description | This study explored the effect of soil nutrient status, agronomic practices and socio-economic factors on maize yield attained by smallholder farmers in the Dedza District of Malawi. Results show that maize yield ranged between 0.4 and 12 t ha
−1
with a mean value of 4.1 t ha
−1
. Observed high yields (>8.0 t ha
−1
) were associated with households using improved varieties combined with improved management practices such as NPK, urea and animal manure. With regards to soil factors, boron (B) and nitrogen (N) which are critically deficient in the area were significantly (β = 21.1,
p
|
| doi_str_mv | 10.1007/s10705-015-9692-7 |
| format | Article |
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−1
with a mean value of 4.1 t ha
−1
. Observed high yields (>8.0 t ha
−1
) were associated with households using improved varieties combined with improved management practices such as NPK, urea and animal manure. With regards to soil factors, boron (B) and nitrogen (N) which are critically deficient in the area were significantly (β = 21.1,
p
< 0.01) associated with maize yield increase. From agronomic factors, weeds, seed spacing, plant density and fertilizer application played significant role in maize yield. Weed rating inversely impacted yield (β = −0.5;
p
< 0.001) where fields with the lowest weed rating had the highest yield (4.6 t ha
−1
) than those with the highest rating (2.3 t ha
−1
). Socio-economic factors such as household wealth, household members with off-farm employment, number of years the household head has been involved in farming decision making, access to agricultural advice and group membership also influenced agronomic practices and resulted in yield gap. Household wealth and off-farm employment contributed to increased yield while household head experience in farming had negative impact. Extension service impacted yield negatively which can be attributed to the low extension worker to farmer ratio. The study demonstrated that closing yield gap in maize mixed farming systems requires integrated approach to addressing agronomic, biophysical and socio-economic constraints.</description><identifier>ISSN: 1385-1314</identifier><identifier>EISSN: 1573-0867</identifier><identifier>DOI: 10.1007/s10705-015-9692-7</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Agricultural practices ; Agriculture ; Agronomy ; Animal manures ; Biomedical and Life Sciences ; Boron ; Corn ; Crop yield ; Decision making ; Economic conditions ; Economic factors ; Economics ; Employment ; Farmers ; Farming systems ; Fertilizer application ; Households ; Life Sciences ; Nitrogen ; Nutrient status ; Original Article ; Planting density ; Small farms ; Socioeconomic factors ; Socioeconomics ; Soil nutrients ; Urea ; Weeds</subject><ispartof>Nutrient cycling in agroecosystems, 2016-07, Vol.105 (3), p.291-308</ispartof><rights>Springer Science+Business Media Dordrecht 2015</rights><rights>Nutrient Cycling in Agroecosystems is a copyright of Springer, (2015). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-f755b4bb5132e4c177828df96eba0cebfa96cfd4b2deaf2adf6b5f9b32103de63</citedby><cites>FETCH-LOGICAL-c316t-f755b4bb5132e4c177828df96eba0cebfa96cfd4b2deaf2adf6b5f9b32103de63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10705-015-9692-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10705-015-9692-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Tamene, Lulseged</creatorcontrib><creatorcontrib>Mponela, Powell</creatorcontrib><creatorcontrib>Ndengu, Gift</creatorcontrib><creatorcontrib>Kihara, Job</creatorcontrib><title>Assessment of maize yield gap and major determinant factors between smallholder farmers in the Dedza district of Malawi</title><title>Nutrient cycling in agroecosystems</title><addtitle>Nutr Cycl Agroecosyst</addtitle><description>This study explored the effect of soil nutrient status, agronomic practices and socio-economic factors on maize yield attained by smallholder farmers in the Dedza District of Malawi. Results show that maize yield ranged between 0.4 and 12 t ha
−1
with a mean value of 4.1 t ha
−1
. Observed high yields (>8.0 t ha
−1
) were associated with households using improved varieties combined with improved management practices such as NPK, urea and animal manure. With regards to soil factors, boron (B) and nitrogen (N) which are critically deficient in the area were significantly (β = 21.1,
p
< 0.01) associated with maize yield increase. From agronomic factors, weeds, seed spacing, plant density and fertilizer application played significant role in maize yield. Weed rating inversely impacted yield (β = −0.5;
p
< 0.001) where fields with the lowest weed rating had the highest yield (4.6 t ha
−1
) than those with the highest rating (2.3 t ha
−1
). Socio-economic factors such as household wealth, household members with off-farm employment, number of years the household head has been involved in farming decision making, access to agricultural advice and group membership also influenced agronomic practices and resulted in yield gap. Household wealth and off-farm employment contributed to increased yield while household head experience in farming had negative impact. Extension service impacted yield negatively which can be attributed to the low extension worker to farmer ratio. The study demonstrated that closing yield gap in maize mixed farming systems requires integrated approach to addressing agronomic, biophysical and socio-economic constraints.</description><subject>Agricultural practices</subject><subject>Agriculture</subject><subject>Agronomy</subject><subject>Animal manures</subject><subject>Biomedical and Life Sciences</subject><subject>Boron</subject><subject>Corn</subject><subject>Crop yield</subject><subject>Decision making</subject><subject>Economic conditions</subject><subject>Economic factors</subject><subject>Economics</subject><subject>Employment</subject><subject>Farmers</subject><subject>Farming systems</subject><subject>Fertilizer application</subject><subject>Households</subject><subject>Life Sciences</subject><subject>Nitrogen</subject><subject>Nutrient status</subject><subject>Original Article</subject><subject>Planting density</subject><subject>Small farms</subject><subject>Socioeconomic factors</subject><subject>Socioeconomics</subject><subject>Soil nutrients</subject><subject>Urea</subject><subject>Weeds</subject><issn>1385-1314</issn><issn>1573-0867</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kEtLAzEUhQdRsFZ_gLuA62gek8nMstQnVNzoOiSTmzZlHjVJKfXXm1rBlat7ueece-ArimtKbikh8i5SIonAhArcVA3D8qSYUCE5JnUlT_POa4Epp-V5cRHjmuQMr8tJsZvFCDH2MCQ0OtRr_wVo76GzaKk3SA8239ZjQBYShN4POhudbtMYIjKQdgADir3uutXYWQhZCz1kzQ8orQDdg_3SyPqYgm9_Kl51p3f-sjhzuotw9Tunxcfjw_v8GS_enl7mswVuOa0SdlIIUxojKGdQtlTKmtXWNRUYTVowTjdV62xpmAXtmLauMsI1hjNKuIWKT4ub499NGD-3EJNaj9sw5ErFmGhqUUnBsoseXW0YYwzg1Cb4Xoe9okQd-KojX5X5qgNfJXOGHTMxe4clhL_P_4e-AZqwgH4</recordid><startdate>20160701</startdate><enddate>20160701</enddate><creator>Tamene, Lulseged</creator><creator>Mponela, Powell</creator><creator>Ndengu, Gift</creator><creator>Kihara, Job</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>M0K</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope></search><sort><creationdate>20160701</creationdate><title>Assessment of maize yield gap and major determinant factors between smallholder farmers in the Dedza district of Malawi</title><author>Tamene, Lulseged ; Mponela, Powell ; Ndengu, Gift ; Kihara, Job</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-f755b4bb5132e4c177828df96eba0cebfa96cfd4b2deaf2adf6b5f9b32103de63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Agricultural practices</topic><topic>Agriculture</topic><topic>Agronomy</topic><topic>Animal manures</topic><topic>Biomedical and Life Sciences</topic><topic>Boron</topic><topic>Corn</topic><topic>Crop yield</topic><topic>Decision making</topic><topic>Economic conditions</topic><topic>Economic factors</topic><topic>Economics</topic><topic>Employment</topic><topic>Farmers</topic><topic>Farming systems</topic><topic>Fertilizer application</topic><topic>Households</topic><topic>Life Sciences</topic><topic>Nitrogen</topic><topic>Nutrient status</topic><topic>Original Article</topic><topic>Planting density</topic><topic>Small farms</topic><topic>Socioeconomic factors</topic><topic>Socioeconomics</topic><topic>Soil nutrients</topic><topic>Urea</topic><topic>Weeds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tamene, Lulseged</creatorcontrib><creatorcontrib>Mponela, Powell</creatorcontrib><creatorcontrib>Ndengu, Gift</creatorcontrib><creatorcontrib>Kihara, Job</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Agricultural Science Database</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><jtitle>Nutrient cycling in agroecosystems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tamene, Lulseged</au><au>Mponela, Powell</au><au>Ndengu, Gift</au><au>Kihara, Job</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of maize yield gap and major determinant factors between smallholder farmers in the Dedza district of Malawi</atitle><jtitle>Nutrient cycling in agroecosystems</jtitle><stitle>Nutr Cycl Agroecosyst</stitle><date>2016-07-01</date><risdate>2016</risdate><volume>105</volume><issue>3</issue><spage>291</spage><epage>308</epage><pages>291-308</pages><issn>1385-1314</issn><eissn>1573-0867</eissn><abstract>This study explored the effect of soil nutrient status, agronomic practices and socio-economic factors on maize yield attained by smallholder farmers in the Dedza District of Malawi. Results show that maize yield ranged between 0.4 and 12 t ha
−1
with a mean value of 4.1 t ha
−1
. Observed high yields (>8.0 t ha
−1
) were associated with households using improved varieties combined with improved management practices such as NPK, urea and animal manure. With regards to soil factors, boron (B) and nitrogen (N) which are critically deficient in the area were significantly (β = 21.1,
p
< 0.01) associated with maize yield increase. From agronomic factors, weeds, seed spacing, plant density and fertilizer application played significant role in maize yield. Weed rating inversely impacted yield (β = −0.5;
p
< 0.001) where fields with the lowest weed rating had the highest yield (4.6 t ha
−1
) than those with the highest rating (2.3 t ha
−1
). Socio-economic factors such as household wealth, household members with off-farm employment, number of years the household head has been involved in farming decision making, access to agricultural advice and group membership also influenced agronomic practices and resulted in yield gap. Household wealth and off-farm employment contributed to increased yield while household head experience in farming had negative impact. Extension service impacted yield negatively which can be attributed to the low extension worker to farmer ratio. The study demonstrated that closing yield gap in maize mixed farming systems requires integrated approach to addressing agronomic, biophysical and socio-economic constraints.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10705-015-9692-7</doi><tpages>18</tpages></addata></record> |
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| subjects | Agricultural practices Agriculture Agronomy Animal manures Biomedical and Life Sciences Boron Corn Crop yield Decision making Economic conditions Economic factors Economics Employment Farmers Farming systems Fertilizer application Households Life Sciences Nitrogen Nutrient status Original Article Planting density Small farms Socioeconomic factors Socioeconomics Soil nutrients Urea Weeds |
| title | Assessment of maize yield gap and major determinant factors between smallholder farmers in the Dedza district of Malawi |
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