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Performance of soybean varieties differs according to yield class: a case study from Southern Brazil
Considering environmental conditions in the selection of soybean ( Glycine max L.) varieties is a key strategy in ensuring high crop yield. Recently, the new technology of multi-hybrid planters has been making it more practical for farmers to plant different varieties together. However, there remain...
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Published in: | Precision agriculture 2019-06, Vol.20 (3), p.520-540 |
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description | Considering environmental conditions in the selection of soybean (
Glycine max
L.) varieties is a key strategy in ensuring high crop yield. Recently, the new technology of multi-hybrid planters has been making it more practical for farmers to plant different varieties together. However, there remains a gap in understanding how different varieties perform in terms of yield class; this knowledge is essential for technology adoption. The objectives of this study were to: (i) evaluate the agronomic performance of six soybean varieties at varying yield class (YC); (ii) quantify the economic return of within-field varieties arrangement; and (iii) propose guidelines for multi-variety soybean planting in Southern Brazil. The experimental design comprised a factorial split-plot set up in a randomized complete block design, with three YC [low (LY), medium (MY) and high yielding (HY)] and six varieties, replicated three times. The main findings were: (a) soybean variety performance differed according to YC; (b) the farmer-selected variety performed well for HY and MY; (c) varieties with high plant height (PH) should be placed in LY, where PH reduction and an increase in the number of pods and yield were recorded; (d) varieties with low PH should be placed in HY, avoiding excessive plant growth and yield penalty; (e) within-field variety arrangement increased yield by 2.10% and 11.50% and economic return by US$ 26 and 137 ha
−1
for HY and LY, respectively. The results support the emergent concept of within-field multi-variety soybean planting in Southern Brazil. |
doi_str_mv | 10.1007/s11119-018-9595-0 |
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Glycine max
L.) varieties is a key strategy in ensuring high crop yield. Recently, the new technology of multi-hybrid planters has been making it more practical for farmers to plant different varieties together. However, there remains a gap in understanding how different varieties perform in terms of yield class; this knowledge is essential for technology adoption. The objectives of this study were to: (i) evaluate the agronomic performance of six soybean varieties at varying yield class (YC); (ii) quantify the economic return of within-field varieties arrangement; and (iii) propose guidelines for multi-variety soybean planting in Southern Brazil. The experimental design comprised a factorial split-plot set up in a randomized complete block design, with three YC [low (LY), medium (MY) and high yielding (HY)] and six varieties, replicated three times. The main findings were: (a) soybean variety performance differed according to YC; (b) the farmer-selected variety performed well for HY and MY; (c) varieties with high plant height (PH) should be placed in LY, where PH reduction and an increase in the number of pods and yield were recorded; (d) varieties with low PH should be placed in HY, avoiding excessive plant growth and yield penalty; (e) within-field variety arrangement increased yield by 2.10% and 11.50% and economic return by US$ 26 and 137 ha
−1
for HY and LY, respectively. The results support the emergent concept of within-field multi-variety soybean planting in Southern Brazil.</description><identifier>ISSN: 1385-2256</identifier><identifier>EISSN: 1573-1618</identifier><identifier>DOI: 10.1007/s11119-018-9595-0</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Agriculture ; Agronomy ; Atmospheric Sciences ; Biomedical and Life Sciences ; Chemistry and Earth Sciences ; Computer Science ; Crop yield ; Design of experiments ; Economics ; Environmental conditions ; Experimental design ; Farmers ; Glycine max ; Life Sciences ; New technology ; Physics ; Plant growth ; Planting ; Remote Sensing/Photogrammetry ; Soil Science & Conservation ; Soybeans ; Statistics for Engineering ; Technology adoption ; Technology utilization</subject><ispartof>Precision agriculture, 2019-06, Vol.20 (3), p.520-540</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2018</rights><rights>Precision Agriculture is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c359t-608a01133b18853c1d2ad2b023cb8b1e71b8a5f5d08215739fa1e61bb8719aff3</citedby><cites>FETCH-LOGICAL-c359t-608a01133b18853c1d2ad2b023cb8b1e71b8a5f5d08215739fa1e61bb8719aff3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2086507434/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2086507434?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11686,27922,27923,36058,44361,74665</link.rule.ids></links><search><creatorcontrib>Corassa, G. M.</creatorcontrib><creatorcontrib>Santi, A. L.</creatorcontrib><creatorcontrib>Amado, T. J. C.</creatorcontrib><creatorcontrib>Reimche, G. B.</creatorcontrib><creatorcontrib>Gaviraghi, R.</creatorcontrib><creatorcontrib>Bisognin, M. B.</creatorcontrib><creatorcontrib>Pires, J. L. F.</creatorcontrib><title>Performance of soybean varieties differs according to yield class: a case study from Southern Brazil</title><title>Precision agriculture</title><addtitle>Precision Agric</addtitle><description>Considering environmental conditions in the selection of soybean (
Glycine max
L.) varieties is a key strategy in ensuring high crop yield. Recently, the new technology of multi-hybrid planters has been making it more practical for farmers to plant different varieties together. However, there remains a gap in understanding how different varieties perform in terms of yield class; this knowledge is essential for technology adoption. The objectives of this study were to: (i) evaluate the agronomic performance of six soybean varieties at varying yield class (YC); (ii) quantify the economic return of within-field varieties arrangement; and (iii) propose guidelines for multi-variety soybean planting in Southern Brazil. The experimental design comprised a factorial split-plot set up in a randomized complete block design, with three YC [low (LY), medium (MY) and high yielding (HY)] and six varieties, replicated three times. The main findings were: (a) soybean variety performance differed according to YC; (b) the farmer-selected variety performed well for HY and MY; (c) varieties with high plant height (PH) should be placed in LY, where PH reduction and an increase in the number of pods and yield were recorded; (d) varieties with low PH should be placed in HY, avoiding excessive plant growth and yield penalty; (e) within-field variety arrangement increased yield by 2.10% and 11.50% and economic return by US$ 26 and 137 ha
−1
for HY and LY, respectively. 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M.</au><au>Santi, A. L.</au><au>Amado, T. J. C.</au><au>Reimche, G. B.</au><au>Gaviraghi, R.</au><au>Bisognin, M. B.</au><au>Pires, J. L. F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Performance of soybean varieties differs according to yield class: a case study from Southern Brazil</atitle><jtitle>Precision agriculture</jtitle><stitle>Precision Agric</stitle><date>2019-06-01</date><risdate>2019</risdate><volume>20</volume><issue>3</issue><spage>520</spage><epage>540</epage><pages>520-540</pages><issn>1385-2256</issn><eissn>1573-1618</eissn><abstract>Considering environmental conditions in the selection of soybean (
Glycine max
L.) varieties is a key strategy in ensuring high crop yield. Recently, the new technology of multi-hybrid planters has been making it more practical for farmers to plant different varieties together. However, there remains a gap in understanding how different varieties perform in terms of yield class; this knowledge is essential for technology adoption. The objectives of this study were to: (i) evaluate the agronomic performance of six soybean varieties at varying yield class (YC); (ii) quantify the economic return of within-field varieties arrangement; and (iii) propose guidelines for multi-variety soybean planting in Southern Brazil. The experimental design comprised a factorial split-plot set up in a randomized complete block design, with three YC [low (LY), medium (MY) and high yielding (HY)] and six varieties, replicated three times. The main findings were: (a) soybean variety performance differed according to YC; (b) the farmer-selected variety performed well for HY and MY; (c) varieties with high plant height (PH) should be placed in LY, where PH reduction and an increase in the number of pods and yield were recorded; (d) varieties with low PH should be placed in HY, avoiding excessive plant growth and yield penalty; (e) within-field variety arrangement increased yield by 2.10% and 11.50% and economic return by US$ 26 and 137 ha
−1
for HY and LY, respectively. The results support the emergent concept of within-field multi-variety soybean planting in Southern Brazil.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11119-018-9595-0</doi><tpages>21</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Agriculture Agronomy Atmospheric Sciences Biomedical and Life Sciences Chemistry and Earth Sciences Computer Science Crop yield Design of experiments Economics Environmental conditions Experimental design Farmers Glycine max Life Sciences New technology Physics Plant growth Planting Remote Sensing/Photogrammetry Soil Science & Conservation Soybeans Statistics for Engineering Technology adoption Technology utilization |
title | Performance of soybean varieties differs according to yield class: a case study from Southern Brazil |
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