Agronomic optimal plant density for semiupright cowpea as a second crop in southeastern Brazil

Soratto, Rogério Peres; Matoso, Aline O.; Gilabel, Amanda Prado; Fernandes, Francisco Maximino; Schwalbert, Raíssa; Ciampitti, Ignacio A.

doi:10.1002/csc2.20232

Cited by 4 publications

(4 citation statements)

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“…In soybean, over a range of lower densities, from 7 to 29 plants per m 2 , HFP raised by 4.1 cm (from 10 to 14.1 cm), respectively, in one cultivar in Turkey (Öz, 2008), and from 10 to 35 plants per m 2 , HFP was increased either from 6.4 to 10 cm or from 10 to 12.5 cm, respectively, in two soybean cultivars studied in the United States (Epler and Staggenborg, 2008). Similar results were reported for cowpea and chickpea, where a density increase from 4.5 to 22.5 and from 20 to 50 plants per m 2 was accompanied by higher HFP, from 10 to 45 cm, in one cultivar of cowpea grown in Brazil (Soratto et al, 2020), from 19.9 to 21.9 cm and from 22 to 27.1 cm in Desi and Kabuli ecotypes of chickpea studied in Canada (Gan et al, 2003a,b), respectively. At higher densities, from 30 to 90 plants per m 2 , HFP was increased from 9.4 to 13.4 cm on average in four soybean cultivars in Germany (Sobko et al, 2019).…”

Section: Effect Of Environment Management and Treatment On Height To ...supporting

confidence: 79%

Height to first pod: A review of genetic and breeding approaches to improve combine harvesting in legume crops

et al. 2022

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Height from soil at the base of plant to the first pod (HFP) is an important trait for mechanical harvesting of legume crops. To minimise the loss of pods, the HFP must be higher than that of the blades of most combine harvesters. Here, we review the genetic control, morphology, and variability of HFP in legumes and attempt to unravel the diverse terminology for this trait in the literature. HFP is directly related to node number and internode length but through different mechanisms. The phenotypic diversity and heritability of HFP and their correlations with plant height are very high among studied legumes. Only a few publications describe a QTL analysis where candidate genes for HFP with confirmed gene expression have been mapped. They include major QTLs with eight candidate genes for HFP, which are involved in auxin transport and signal transduction in soybean [Glycine max (L.) Merr.] as well as MADS box gene SOC1 in Medicago trancatula, and BEBT or WD40 genes located nearby in the mapped QTL in common bean (Phaseolus vulgaris L.). There is no information available about simple and efficient markers associated with HFP, which can be used for marker-assisted selection for this trait in practical breeding, which is still required in the nearest future. To our best knowledge, this is the first review to focus on this significant challenge in legume-based cropping systems. KEYWORDS auxin transport and signal transduction genes, BEBT or WD40 genes, candidate genes, gene expression, height to the first pod, MADS box gene SOC1, QTL analysis Frontiers in Plant Science 01 frontiersin.org Kuzbakova et al. 10.3389/fpls.2022.948099 In contrast, as shown in the bottom part of Table 1, many reports in the literature use the same or similar terms for 'pods, ' where FPH (first pod height) is clearly the most commonly used, while the terms for 'bottom, ' 'lowest, ' and 'basal' pods are synonymous. Interestingly, terms referring to 'pod insertion' were used by almost all researchers from Brazil (with one Frontiers in Plant Science 03 frontiersin.org

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Section: Effect Of Environment Management and Treatment On Height To ...supporting

confidence: 79%

Height to first pod: A review of genetic and breeding approaches to improve combine harvesting in legume crops

et al. 2022

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“…(2016) also observed that less dense plant populations promoted the best absolute growth rate and relative growth rate values. The reduced leaf area resulted from dense plant population also decreased the photosynthetically active area, reducing radiation interception and then carbohydrate production which compromises plant DM accumulation (Feng et al., 2009; Soratto et al., 2020; Yao et al., 2016). Such results were verified here as the net assimilation rate was lower in the close‐spaced plant arrangements than the traditional layout (Figure 6c).…”

Section: Resultsmentioning

confidence: 99%

“…In other studies, it was observed that competition between castor plants cultivated in dense populations, especially early growing season, can favor the emergence of unproductive plants and decrease seed production (Soratto et al., 2012). Likewise, competition between cowpea plants ( Vigna unguiculata L.) later in the season was found to reduce seed weight (Soratto et al., 2020).…”

Section: Resultsmentioning

confidence: 99%

Close‐spaced plant arrangement optimizes castor biomass and seed yields in tropical fall–winter conditions

et al. 2022

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The high seed yield and optimum harvesting of short-height castor (Ricinus communis L.) genotypes have enabled its large-scale cultivation and introduction in the Brazilian cropping systems. Thus, studies to optimize plant density are essential to adequate plant population since this is the key management to influence castor biomass and seed production. This study aimed to evaluate the influence of plant density by altering plant arrangement (i.e., spacing between and within rows) on growth, biomass production and partitioning, and seed yield of a castor cultivar in fall-winter cropping season. Field experiments were conducted over two seasons in southeastern Brazil. Two close-spaced (0.45 × 0.23 m and 0.45 × 0.44 m) and a traditional (0.90 × 0.44 m) plant arrangements were tested. Plant arrangements influenced plant growth, biomass production and partitioning, and seed yield. Compared to the traditional layout, close-spaced plant arrangements resulted in thinner basal stems and lower leaf area per plant, but increased leaf area index. The plant arrangement with higher plant density increased per-unit area production of stem plus leaf biomass (43-48%), which also resulted in increased (24%) seed yield, compared to traditional layout. Although a greater amount of biomass was partitioned to reproductive organs in close-spaced plant arrangements, this allocation was not enough to influence the harvest index. Therefore, the adaptive performance of short-height castor adjusting biomass partitioning to maximize stem plus leaf biomass production and seed yield at close-spaced plant arrangement demonstrated this to be a suitable option to cultivate in the Brazilian fall-winter season.

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“…A similar remote sensing approach has been used to predict LAI and its spatio-temporal evolution for bamboo (Xing et al, 2019) and other forests (Naithani et al, 2013;Schraik et al, 2019). For agronomical models of the LAI of food crops such as rice (Xu et al, 2019), Brazilian Cowpea (Soratto et al, 2020) or white winter wheat (Qu et al, 2008), local multispectral measurements are often used instead of-or in addition to-satellite images. In most of these studies, Bayesian hierarchical models are used to impose prior domain knowledge, combine multimodal data sources, and integrate data collected at multiple resolutions of space and/or time, all of which ultimately improve prediction performance.…”

Section: Introductionmentioning

confidence: 99%

Bayesian Hierarchical Models can Infer Interpretable Predictions of Leaf Area Index From Heterogeneous Datasets

Stojanović

Siegmann

Jarmer

et al. 2022

Front. Environ. Sci.

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Environmental scientists often face the challenge of predicting a complex phenomenon from a heterogeneous collection of datasets that exhibit systematic differences. Accounting for these differences usually requires including additional parameters in the predictive models, which increases the probability of overfitting, particularly on small datasets. We investigate how Bayesian hierarchical models can help mitigate this problem by allowing the practitioner to incorporate information about the structure of the dataset explicitly. To this end, we look at a typical application in remote sensing: the estimation of leaf area index of white winter wheat, an important indicator for agronomical modeling, using measurements of reflectance spectra collected at different locations and growth stages. Since the insights gained from such a model could be used to inform policy or business decisions, the interpretability of the model is a primary concern. We, therefore, focus on models that capture the association between leaf area index and the spectral reflectance at various wavelengths by spline-based kernel functions, which can be visually inspected and analyzed. We compare models with three different levels of hierarchy: a non-hierarchical baseline model, a model with hierarchical bias parameter, and a model in which bias and kernel parameters are hierarchically structured. We analyze them using Markov Chain Monte Carlo sampling diagnostics and an intervention-based measure of feature importance. The improved robustness and interpretability of this approach show that Bayesian hierarchical models are a versatile tool for the prediction of leaf area index, particularly in scenarios where the available data sources are heterogeneous.

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Agronomic optimal plant density for semiupright cowpea as a second crop in southeastern Brazil

Cited by 4 publications

References 27 publications

Height to first pod: A review of genetic and breeding approaches to improve combine harvesting in legume crops

Height to first pod: A review of genetic and breeding approaches to improve combine harvesting in legume crops

Close‐spaced plant arrangement optimizes castor biomass and seed yields in tropical fall–winter conditions

Bayesian Hierarchical Models can Infer Interpretable Predictions of Leaf Area Index From Heterogeneous Datasets

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