Low soil phosphorus (P) availability is a major constraint for crop production in tropical regions. The rice (Oryza sativa) protein kinase, PHOSPHORUS-STARVATION TOLERANCE1 (OsPSTOL1), was previously shown to enhance P acquisition and grain yield in rice under P deficiency. We investigated the role of homologs of OsPSTOL1 in sorghum (Sorghum bicolor) performance under low P. Association mapping was undertaken in two sorghum association panels phenotyped for P uptake, root system morphology and architecture in hydroponics and grain yield and biomass accumulation under low-P conditions, in Brazil and/or in Mali. Root length and root surface area were positively correlated with grain yield under low P in the soil, emphasizing the importance of P acquisition efficiency in sorghum adaptation to low-P availability. SbPSTOL1 alleles reducing root diameter were associated with enhanced P uptake under low P in hydroponics, whereas Sb03g006765 and Sb03g0031680 alleles increasing root surface area also increased grain yield in a low-P soil. SbPSTOL1 genes colocalized with quantitative trait loci for traits underlying root morphology and dry weight accumulation under low P via linkage mapping. Consistent allelic effects for enhanced sorghum performance under low P between association panels, including enhanced grain yield under low P in the soil in Brazil, point toward a relatively stable role for Sb03g006765 across genetic backgrounds and environmental conditions. This study indicates that multiple SbPSTOL1 genes have a more general role in the root system, not only enhancing root morphology traits but also changing root system architecture, which leads to grain yield gain under low-P availability in the soil.

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Pest monitoring with pheromone traps is affected mainly by factors such as trap placement and pest biology. The intertrap distance can affect the capture due to competition among traps that are placed at short distances. We studied the interference among pheromone traps used to monitor males of the coffee leaf miner, Leucoptera coffeella (Guérin‐Méneville) (Lepidoptera: Lyonetiidae), with traps placed at various distances. Using geostatistical analysis, we determined at what distance captures were independent from other traps. Traps were placed in groups of 12 with distances among traps per group either 2, 5, 10, 15, or 30 m. Traps were checked for males every 4 days during 16 days. We found interference between traps when intertrap distances were shorter than 10 m. The range and magnitude of spatial dependence varied considerably among each sampling date and wind direction. For directions of 45° and 135°, the traps should be placed 110 and 177 m apart, respectively, to obtain spatially independent counts and therefore representative samplings for assessing the insect population in the area. These results have implications for developing sampling plans for managing L. coffeella with pheromone traps; the spatial analysis indicated that a trap density of one pheromone trap for every 3.5–4 ha would be adequate for the monitoring of the coffee leaf miner.

Resumo -O objetivo deste trabalho foi avaliar a variabilidade espacial e temporal da produtividade de soja, milho e trigo, em uma lavoura comercial de 57 ha, não irrigada, manejada há mais de dez anos sob sistema plantio direto, em um Latossolo Vermelho distrófico típico, em Palmeira das Missões, RS. A coleta de dados de produtividade de seis cultivos, entre 2000 e 2005, foi realizada por colhedora equipada com monitor de produtividade. Análises estatísticas e geoestatísticas foram realizadas a fim de avaliar a variabilidade espacial e a presença de dependência espacial ao longo dos anos. A produtividade da soja, do milho e do trigo alcançada apresenta variabilidade com continuidade espacial, correlacionando-se entre si, ao longo dos anos. Em anos de deficit hídrico, verifica-se aumento da variabilidade espacial da produtividade. A cultura do milho é mais eficiente do que a da soja em detectar a variabilidade espacial da produtividade existente na lavoura.Termos para indexação: Glycine max, Zea mays, Triticum aestivum, agricultura de precisão, mapeamento da produtividade, Latossolo. Spatial and temporal variability of grain yield under no-tillage cropping systemAbstract -The objective of this work was to analyze the spatial and temporal yield variability of soybean, corn and wheat in a 57 ha cropland, without irrigation, under no-till for more than ten years in a Typic Hapludox, located in Palmeira das Missões, RS. Yield data of crops from 2000 to 2005 were collected using a combine equipped with yield monitor. Statistical and geostatistical analysis were performed to monitor the range of the spatial variability and its spatial dependence, as well as its behavior over the years. Soybean, corn and wheat yield present spatial variability, which is maintained over time. In dry years, yield variance coefficient increases compared to wet years. Corn was more efficient than soybean to identify spatial yield variability in the cropland.