FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4292551116> ?p ?o ?g. }

• W4292551116 endingPage "108652" @default.
• W4292551116 startingPage "108652" @default.
• W4292551116 abstract "Research for development efforts for increasing rice yield in sub-Saharan Africa (SSA) have largely concentrated on genetic improvement and agronomy for more than 50 years. Here we perform the first meta-analysis to quantify genetic gain - yield increase through use of new variety and calculated by yield difference between new variety and variety popularly grown in the target site, and agronomic gain - difference in yield between improved agronomic practices and the control in SSA using 208 paired observations from 40 studies across 12 countries. Among the studies, 41 %, 34 %, and 25 % were from irrigated lowland, rainfed lowland, and rainfed upland rice, respectively. Seventy percent of the studies reported in this paper were conducted on research stations. In agronomic practices, inorganic fertilizer management practices accounted for 78 % of the studies, of which 48 % were nitrogen (N) management. In each study, we identified four types of varieties: check variety (VC), variety with highest yield in the control (VHC), variety with highest yield under improved agronomic practices (VHT), and variety with largest yield difference between improved agronomic practices and control (VHR). VHT was the same as VHC in 35 % of observations, whereas VHR and VHT were the same in 51 %. These indicate that it is possible to develop varieties adapted to different agronomic practices and high-yielding varieties tend to be responsive to improved agronomic practices. On average, total gain in yield with improved agronomic practices and VHT was 1.6 t/ha. Agronomic practice accounted for 75 % of the total variation in total yield gain with variety and agronomic practice by variety interaction responsible for 19 % and 6 %, respectively. Genetic gains in yield with VHC, VHT, and VHR were 0.7, 0.3, and -0.3 t/ha in control, and 0.4, 0.9, and 0.5 t/ha in improved agronomic practices. Agronomic gain in yield averaged 0.5, 0.8, 1.4, and 1.6 t/ha in VHC, VC, VHT, and VHR, respectively. Agronomic gain in yield of VHT was higher than genetic gain under improved agronomic practices in 54 % of observations. Agronomic gain was highest in irrigated lowland rice, followed by rainfed lowland rice. Higher agronomic gain in yield was also associated with larger difference in N application rate between improved agronomic practices and control. Whereas agronomic practices had larger contribution to total gain in yield than genetic improvement in this study, future assessment of agronomic and genetic gains in yield is warranted. Such assessment should focus more on rainfed rice systems, where agronomic gain was small, take into account genetic improvement rate over time and integrated agronomic practices rather than single intervention like nutrient management practice only, and be conducted in farmers' fields." @default.
• W4292551116 created "2022-08-22" @default.
• W4292551116 creator A5007031856 @default.
• W4292551116 creator A5052533795 @default.
• W4292551116 date "2022-10-01" @default.
• W4292551116 modified "2023-09-27" @default.
• W4292551116 title "Assessing genetic and agronomic gains in rice yield in sub-Saharan Africa: A meta-analysis" @default.
• W4292551116 cites W16599179 @default.
• W4292551116 cites W1966191657 @default.
• W4292551116 cites W1967857296 @default.
• W4292551116 cites W1989584971 @default.
• W4292551116 cites W2001588836 @default.
• W4292551116 cites W2003530942 @default.
• W4292551116 cites W2013414890 @default.
• W4292551116 cites W2034115400 @default.
• W4292551116 cites W2034128329 @default.
• W4292551116 cites W2037233275 @default.
• W4292551116 cites W2039121060 @default.
• W4292551116 cites W2044625506 @default.
• W4292551116 cites W2045125842 @default.
• W4292551116 cites W2054147431 @default.
• W4292551116 cites W2059708527 @default.
• W4292551116 cites W2060921077 @default.
• W4292551116 cites W2064261409 @default.
• W4292551116 cites W2086735429 @default.
• W4292551116 cites W2086848078 @default.
• W4292551116 cites W2106946668 @default.
• W4292551116 cites W2112387300 @default.
• W4292551116 cites W2125435699 @default.
• W4292551116 cites W2126529859 @default.
• W4292551116 cites W2129748104 @default.
• W4292551116 cites W2262489081 @default.
• W4292551116 cites W2347115692 @default.
• W4292551116 cites W2399067776 @default.
• W4292551116 cites W2524683502 @default.
• W4292551116 cites W2595541983 @default.
• W4292551116 cites W2613078054 @default.
• W4292551116 cites W2752624676 @default.
• W4292551116 cites W2792020983 @default.
• W4292551116 cites W2794757347 @default.
• W4292551116 cites W2795764602 @default.
• W4292551116 cites W2801151470 @default.
• W4292551116 cites W2801673712 @default.
• W4292551116 cites W2805791534 @default.
• W4292551116 cites W2886682694 @default.
• W4292551116 cites W2900467238 @default.
• W4292551116 cites W2905649197 @default.
• W4292551116 cites W2947111799 @default.
• W4292551116 cites W2948304218 @default.
• W4292551116 cites W2977236316 @default.
• W4292551116 cites W3001633380 @default.
• W4292551116 cites W3090117005 @default.
• W4292551116 cites W3094537242 @default.
• W4292551116 cites W3121148423 @default.
• W4292551116 cites W3152537323 @default.
• W4292551116 cites W3157526657 @default.
• W4292551116 cites W3176666079 @default.
• W4292551116 cites W3188966831 @default.
• W4292551116 cites W3191488686 @default.
• W4292551116 cites W3194998308 @default.
• W4292551116 cites W3197136137 @default.
• W4292551116 cites W4200189258 @default.
• W4292551116 cites W4205766186 @default.
• W4292551116 cites W4214888186 @default.
• W4292551116 cites W4250596116 @default.
• W4292551116 doi "https://doi.org/10.1016/j.fcr.2022.108652" @default.
• W4292551116 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36259047" @default.
• W4292551116 hasPublicationYear "2022" @default.
• W4292551116 type Work @default.
• W4292551116 citedByCount "3" @default.
• W4292551116 countsByYear W42925511162022 @default.
• W4292551116 countsByYear W42925511162023 @default.
• W4292551116 crossrefType "journal-article" @default.
• W4292551116 hasAuthorship W4292551116A5007031856 @default.
• W4292551116 hasAuthorship W4292551116A5052533795 @default.
• W4292551116 hasBestOaLocation W42925511161 @default.
• W4292551116 hasConcept C104317684 @default.
• W4292551116 hasConcept C126343540 @default.
• W4292551116 hasConcept C134121241 @default.
• W4292551116 hasConcept C150903083 @default.
• W4292551116 hasConcept C191897082 @default.
• W4292551116 hasConcept C192562407 @default.
• W4292551116 hasConcept C2778361644 @default.
• W4292551116 hasConcept C2778890363 @default.
• W4292551116 hasConcept C2780560099 @default.
• W4292551116 hasConcept C55493867 @default.
• W4292551116 hasConcept C6557445 @default.
• W4292551116 hasConcept C68873052 @default.
• W4292551116 hasConcept C86803240 @default.
• W4292551116 hasConceptScore W4292551116C104317684 @default.
• W4292551116 hasConceptScore W4292551116C126343540 @default.
• W4292551116 hasConceptScore W4292551116C134121241 @default.
• W4292551116 hasConceptScore W4292551116C150903083 @default.
• W4292551116 hasConceptScore W4292551116C191897082 @default.
• W4292551116 hasConceptScore W4292551116C192562407 @default.
• W4292551116 hasConceptScore W4292551116C2778361644 @default.
• W4292551116 hasConceptScore W4292551116C2778890363 @default.
• W4292551116 hasConceptScore W4292551116C2780560099 @default.

• next