Matches in SemOpenAlex for { <https://semopenalex.org/work/W3019104845> ?p ?o ?g. }
- W3019104845 endingPage "107782" @default.
- W3019104845 startingPage "107782" @default.
- W3019104845 abstract "The paper refers to spring wheat breeding for potential yield, yield in the absence of manageable stresses, under irrigated low latitude conditions, representing a major environment for wheat production. Initially it discusses two propositions both over 50 years old. Donald argued that for greater yield, early generation selection should target uncompetitive plant traits or “communal” plants. In contrast, Fasoulas proposed the opposite, namely selection of plants with high yield under nil-competition, aided by the use of a honeycomb design to control for soil variation. Despite some promising results, the absence of definitive proof of the relevance to yield breeding of either concept, wheat breeders have generally opted for an intermediate approach with focus on measuring yield in plots as early as possible. They have been successful but yield progress is slowing. The advent of seeding machinery permitting regular planting patterns through seed singulation, and the reporting of optimal densities for maximum yield per hectare as low as 20 plants/m2 under irrigation and excellent management in northwest Mexico (Fischer et al., 2019), suggest that Fasoulas’s method needs reinvestigating at least for wheat. Yield crossovers (i.e. genotype rank changes) with increasing plant density from the very low density for nil-competition (around 1.4/m2) are expected to be less likely if the target crop density is as low as say 20/m2. There are enough unknowns in the physiology of the wheat crop response to density to suggest that this is quite possible. The approach opens up new possibly more efficient strategies for early generation (e.g. F2) selection for potential yield and could give greater yield progress per unit cost. It would be especially suited for hybrid wheat breeding and production systems. Finally the paper discusses, in the light of the advances in precision agriculture, the opportunities for the agronomy of crops and breeding-nurseries based on low-density honeycomb planting. The major challenge, namely weed control, is manageable." @default.
- W3019104845 created "2020-05-01" @default.
- W3019104845 creator A5013193869 @default.
- W3019104845 date "2020-07-01" @default.
- W3019104845 modified "2023-10-11" @default.
- W3019104845 title "Breeding wheat for increased potential yield: Contrasting ideas from Donald and Fasoulas, and the case for early generation selection under nil competition" @default.
- W3019104845 cites W1007601098 @default.
- W3019104845 cites W1536115317 @default.
- W3019104845 cites W1551468003 @default.
- W3019104845 cites W1976499726 @default.
- W3019104845 cites W1996579163 @default.
- W3019104845 cites W2003760268 @default.
- W3019104845 cites W2005418695 @default.
- W3019104845 cites W2007504901 @default.
- W3019104845 cites W2011045000 @default.
- W3019104845 cites W2012877131 @default.
- W3019104845 cites W2012986268 @default.
- W3019104845 cites W2018751037 @default.
- W3019104845 cites W2023888943 @default.
- W3019104845 cites W2058467808 @default.
- W3019104845 cites W2064316868 @default.
- W3019104845 cites W2066624351 @default.
- W3019104845 cites W2079478063 @default.
- W3019104845 cites W2092446022 @default.
- W3019104845 cites W2093800947 @default.
- W3019104845 cites W2099477731 @default.
- W3019104845 cites W2107201571 @default.
- W3019104845 cites W2112387300 @default.
- W3019104845 cites W2118250561 @default.
- W3019104845 cites W2118283923 @default.
- W3019104845 cites W2141073471 @default.
- W3019104845 cites W2162413233 @default.
- W3019104845 cites W2166323745 @default.
- W3019104845 cites W2209194711 @default.
- W3019104845 cites W2284765784 @default.
- W3019104845 cites W2501348247 @default.
- W3019104845 cites W2526851727 @default.
- W3019104845 cites W2532484200 @default.
- W3019104845 cites W2647121553 @default.
- W3019104845 cites W2742509035 @default.
- W3019104845 cites W2766281028 @default.
- W3019104845 cites W2802087156 @default.
- W3019104845 cites W2908307607 @default.
- W3019104845 cites W2910161514 @default.
- W3019104845 cites W2953086741 @default.
- W3019104845 cites W2965641531 @default.
- W3019104845 cites W301659668 @default.
- W3019104845 cites W4235386894 @default.
- W3019104845 doi "https://doi.org/10.1016/j.fcr.2020.107782" @default.
- W3019104845 hasPublicationYear "2020" @default.
- W3019104845 type Work @default.
- W3019104845 sameAs 3019104845 @default.
- W3019104845 citedByCount "18" @default.
- W3019104845 countsByYear W30191048452021 @default.
- W3019104845 countsByYear W30191048452022 @default.
- W3019104845 countsByYear W30191048452023 @default.
- W3019104845 crossrefType "journal-article" @default.
- W3019104845 hasAuthorship W3019104845A5013193869 @default.
- W3019104845 hasConcept C104317684 @default.
- W3019104845 hasConcept C118518473 @default.
- W3019104845 hasConcept C127413603 @default.
- W3019104845 hasConcept C134121241 @default.
- W3019104845 hasConcept C137580998 @default.
- W3019104845 hasConcept C154945302 @default.
- W3019104845 hasConcept C155015343 @default.
- W3019104845 hasConcept C168741863 @default.
- W3019104845 hasConcept C18903297 @default.
- W3019104845 hasConcept C191897082 @default.
- W3019104845 hasConcept C192562407 @default.
- W3019104845 hasConcept C202050865 @default.
- W3019104845 hasConcept C2778361644 @default.
- W3019104845 hasConcept C2778890363 @default.
- W3019104845 hasConcept C2991904373 @default.
- W3019104845 hasConcept C33923547 @default.
- W3019104845 hasConcept C41008148 @default.
- W3019104845 hasConcept C55493867 @default.
- W3019104845 hasConcept C6557445 @default.
- W3019104845 hasConcept C68873052 @default.
- W3019104845 hasConcept C81917197 @default.
- W3019104845 hasConcept C86803240 @default.
- W3019104845 hasConcept C88463610 @default.
- W3019104845 hasConcept C91306197 @default.
- W3019104845 hasConceptScore W3019104845C104317684 @default.
- W3019104845 hasConceptScore W3019104845C118518473 @default.
- W3019104845 hasConceptScore W3019104845C127413603 @default.
- W3019104845 hasConceptScore W3019104845C134121241 @default.
- W3019104845 hasConceptScore W3019104845C137580998 @default.
- W3019104845 hasConceptScore W3019104845C154945302 @default.
- W3019104845 hasConceptScore W3019104845C155015343 @default.
- W3019104845 hasConceptScore W3019104845C168741863 @default.
- W3019104845 hasConceptScore W3019104845C18903297 @default.
- W3019104845 hasConceptScore W3019104845C191897082 @default.
- W3019104845 hasConceptScore W3019104845C192562407 @default.
- W3019104845 hasConceptScore W3019104845C202050865 @default.
- W3019104845 hasConceptScore W3019104845C2778361644 @default.
- W3019104845 hasConceptScore W3019104845C2778890363 @default.
- W3019104845 hasConceptScore W3019104845C2991904373 @default.
- W3019104845 hasConceptScore W3019104845C33923547 @default.