cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19944713
title: Management systems for nematode control in soybean fields in south-central Paraná, Brazil

description: Abstract The objective of this work was to evaluate the effects of winter crops and of soybean management systems on Pratylenchus brachyurus and Helicotylenchus dihystera populations, in a naturally infested site, in the south-central region of the state of Paraná, Brazil. The experiment was carried out during two crop years (2017/2018 and 2018/2019). Barley or black oat (winter crops) and soybean (summer crop) were treated with chemical or biological nematicides applied in the furrows or as seed treatment. Nematode reproduction on soybean was evaluated at 45 and 90 days after sowing (DAS). Soybean yield and 1,000-grain weight were also determined. The principal component analysis (PCA) of 2017/2018 showed a positive correlation between P. brachyurus and H. dihystera reproduction with barley/soybean + cadusafos, barley/soybean + abamectin, and barley/soybean + Bacillus spp., at 45 DAS, which shows that these treatments favored initial nematode reproduction. In the 2018/2019 crop year, the untreated barley/soybean, barley/soybean + abamectin, and black oat/soybean + abamectin systems favored the increase of 1,000-grain weight. The chemical control reduced P. brachyurus reproduction in both crop years. Black oat and the treatments with abamectin of winter and summer crops control P. brachyurus and increase soybean yield. However, the results are not conclusive for H. dihystera management.
DOI: 10.6084/m9.figshare.19944713.v1
title: Management systems for nematode control in soybean fields in south-central Paraná, Brazil

description: Abstract The objective of this work was to evaluate the effects of winter crops and of soybean management systems on Pratylenchus brachyurus and Helicotylenchus dihystera populations, in a naturally infested site, in the south-central region of the state of Paraná, Brazil. The experiment was carried out during two crop years (2017/2018 and 2018/2019). Barley or black oat (winter crops) and soybean (summer crop) were treated with chemical or biological nematicides applied in the furrows or as seed treatment. Nematode reproduction on soybean was evaluated at 45 and 90 days after sowing (DAS). Soybean yield and 1,000-grain weight were also determined. The principal component analysis (PCA) of 2017/2018 showed a positive correlation between P. brachyurus and H. dihystera reproduction with barley/soybean + cadusafos, barley/soybean + abamectin, and barley/soybean + Bacillus spp., at 45 DAS, which shows that these treatments favored initial nematode reproduction. In the 2018/2019 crop year, the untreated barley/soybean, barley/soybean + abamectin, and black oat/soybean + abamectin systems favored the increase of 1,000-grain weight. The chemical control reduced P. brachyurus reproduction in both crop years. Black oat and the treatments with abamectin of winter and summer crops control P. brachyurus and increase soybean yield. However, the results are not conclusive for H. dihystera management.
DOI: 10.5281/zenodo.6599502
title: Binomial and toric ideal data for learning a performance metric of Buchberger's algorithm

description: This data set consists of randomly generated binomial and toric ideals. It was used for predicting a certain complexity measure of Buchberger's algorithm for toric and binomial ideals in small number of variables. See also the corresponding code on GitHub and the Involve journal paper available on arXiv, which explains in detail the models used to generate the data. <strong>From the article:</strong> What can be (machine) learned about the performance of Buchberger's algorithm? Given a system of polynomials, Buchberger's algorithm computes a Gr\"obner basis of the ideal these polynomials generate using an iterative procedure based on multivariate long division. The runtime of each step of the algorithm is typically dominated by a series of polynomial additions, and the total number of these additions is a hardware-independent performance metric that is often used to evaluate and optimize various implementation choices. In this work we attempt to predict, using just the starting input, the number of polynomial additions that take place during one run of Buchberger's algorithm. Good predictions are useful for quickly estimating difficulty and understanding what features make a Gr\"obner basis computation hard. Our features and methods could also be used for value models in the reinforcement learning approach to optimize Buchberger's algorithm introduced in the second author's thesis. We show that a multiple linear regression model built from a set of easy-to-compute ideal generator statistics can predict the number of polynomial additions somewhat well, better than an uninformed model, and better than regression models built on some intuitive commutative algebra invariants that are more difficult to compute. We also train a simple recursive neural network that outperforms these linear models. Our work serves as a proof of concept, demonstrating that predicting the number of polynomial additions in Buchberger's algorithm is a feasible problem from the point of view of machine learning.
DOI: 10.5281/zenodo.6599501
title: Binomial and toric ideal data for learning a performance metric of Buchberger's algorithm

description: This data set consists of randomly generated binomial and toric ideals. It was used for predicting a certain complexity measure of Buchberger's algorithm for toric and binomial ideals in small number of variables. See also the corresponding code on GitHub and the Involve journal paper available on arXiv, which explains in detail the models used to generate the data. <strong>From the article:</strong> What can be (machine) learned about the performance of Buchberger's algorithm? Given a system of polynomials, Buchberger's algorithm computes a Gr\"obner basis of the ideal these polynomials generate using an iterative procedure based on multivariate long division. The runtime of each step of the algorithm is typically dominated by a series of polynomial additions, and the total number of these additions is a hardware-independent performance metric that is often used to evaluate and optimize various implementation choices. In this work we attempt to predict, using just the starting input, the number of polynomial additions that take place during one run of Buchberger's algorithm. Good predictions are useful for quickly estimating difficulty and understanding what features make a Gr\"obner basis computation hard. Our features and methods could also be used for value models in the reinforcement learning approach to optimize Buchberger's algorithm introduced in the second author's thesis. We show that a multiple linear regression model built from a set of easy-to-compute ideal generator statistics can predict the number of polynomial additions somewhat well, better than an uninformed model, and better than regression models built on some intuitive commutative algebra invariants that are more difficult to compute. We also train a simple recursive neural network that outperforms these linear models. Our work serves as a proof of concept, demonstrating that predicting the number of polynomial additions in Buchberger's algorithm is a feasible problem from the point of view of machine learning.
DOI: 10.6084/m9.figshare.19944715.v1
title: Blast disease and wheat production in Brazil

description: Abstract This review paper presents the current context of wheat production in Brazil, the management strategies to reduce yield losses due to blast, and the biotechnological approaches to improve wheat resistance. Wheat blast or brusone is caused by the Magnaporthe oryzae Triticum (MoT) pathotype fungus that can infect all the aboveground parts of the plant. The main symptom of the blast disease is spike bleaching that impairs grain production, causing yield losses up to 100% in susceptible wheat cultivars. The first world report of blast in wheat spikes was in Brazil, in 1985, and, currently, the disease is the main constraint to wheat cultivation in tropical and subtropical areas of the Cerrado and Mata Atlântica biomes. For a long time, the use of fungicides has been found to be ineffective under high-pressure disease conditions. However, recent works have pointed out that fungicide efficiency depends on the integration of other control measures, particularly the choice of cultivars with moderate resistance. In this review paper, the high variability of wheat reaction to MoT is presented, as well as a panel of resistant or moderately resistant cultivars (including non-2NS carriers), promptly available for cultivation in regions where blast is endemic.
DOI: 10.6084/m9.figshare.19944715
title: Blast disease and wheat production in Brazil

description: Abstract This review paper presents the current context of wheat production in Brazil, the management strategies to reduce yield losses due to blast, and the biotechnological approaches to improve wheat resistance. Wheat blast or brusone is caused by the Magnaporthe oryzae Triticum (MoT) pathotype fungus that can infect all the aboveground parts of the plant. The main symptom of the blast disease is spike bleaching that impairs grain production, causing yield losses up to 100% in susceptible wheat cultivars. The first world report of blast in wheat spikes was in Brazil, in 1985, and, currently, the disease is the main constraint to wheat cultivation in tropical and subtropical areas of the Cerrado and Mata Atlântica biomes. For a long time, the use of fungicides has been found to be ineffective under high-pressure disease conditions. However, recent works have pointed out that fungicide efficiency depends on the integration of other control measures, particularly the choice of cultivars with moderate resistance. In this review paper, the high variability of wheat reaction to MoT is presented, as well as a panel of resistant or moderately resistant cultivars (including non-2NS carriers), promptly available for cultivation in regions where blast is endemic.
DOI: 10.6084/m9.figshare.19944716
title: Weed control in melon with preemergence herbicides

description: Abstract The objective of this work was to evaluate the effectiveness and selectivity of herbicides applied at preemergence to the melon (Cucumis melo) crop. The experiments were carried out from 2017 to 2018, in a randomized complete block design, with four replicates, in the state of Rio Grande do Norte, Brazil. The treatments consisted of the preemergence application of: 35 g ha-1 a.i. flumioxazin, 25 g ha-1 a.i. flumioxazin, 250 g ha-1 a.i. sulfentrazone, 480 g ha-1 a.i. metribuzin, 240 g ha-1 a.i. oxyfluorfen, 240 g ha-1 a.i. oxyfluorfen + 960 g ha-1 a.i. S-metolachlor, 360 g ha-1 a.i. clomazone, and 360 g ha-1 a.i. clomazone + 240 g ha-1 a.i. oxyfluorfen; in 2018, metribuzin did not show selectivity and was substituted by 480 g ha-1 a.i. ametryn and 1,600 g ha-1 a.i. diuron. Fruit yield and quality, as well as weed control and dry mass, were evaluated. The metribuzin, ametryn, and diuron herbicides caused melon plant death. The best efficiency in weed control was obtained with the mixture clomazone + oxyfluorfen, followed by oxyfluorfen, oxyfluorfen + S-metolachlor, and clomazone. The treatments with oxyfluorfen, oxyfluorfen + S-metolachlor, and clomazone + oxyfluorfen were not considered selective. Clomazone was the only selective herbicide in the two years of evaluation and can be an alternative for weed control in melon crops.
DOI: 10.6084/m9.figshare.19944716.v1
title: Weed control in melon with preemergence herbicides

description: Abstract The objective of this work was to evaluate the effectiveness and selectivity of herbicides applied at preemergence to the melon (Cucumis melo) crop. The experiments were carried out from 2017 to 2018, in a randomized complete block design, with four replicates, in the state of Rio Grande do Norte, Brazil. The treatments consisted of the preemergence application of: 35 g ha-1 a.i. flumioxazin, 25 g ha-1 a.i. flumioxazin, 250 g ha-1 a.i. sulfentrazone, 480 g ha-1 a.i. metribuzin, 240 g ha-1 a.i. oxyfluorfen, 240 g ha-1 a.i. oxyfluorfen + 960 g ha-1 a.i. S-metolachlor, 360 g ha-1 a.i. clomazone, and 360 g ha-1 a.i. clomazone + 240 g ha-1 a.i. oxyfluorfen; in 2018, metribuzin did not show selectivity and was substituted by 480 g ha-1 a.i. ametryn and 1,600 g ha-1 a.i. diuron. Fruit yield and quality, as well as weed control and dry mass, were evaluated. The metribuzin, ametryn, and diuron herbicides caused melon plant death. The best efficiency in weed control was obtained with the mixture clomazone + oxyfluorfen, followed by oxyfluorfen, oxyfluorfen + S-metolachlor, and clomazone. The treatments with oxyfluorfen, oxyfluorfen + S-metolachlor, and clomazone + oxyfluorfen were not considered selective. Clomazone was the only selective herbicide in the two years of evaluation and can be an alternative for weed control in melon crops.
DOI: 10.6084/m9.figshare.19944718
title: Agroeconomic viability of 'Farta Velhaco' banana plantations at increasing planting densities in the state of Mato Grosso, Brazil

description: Abstract The objective of this work was to evaluate the morphological characteristics, yield, fruit quality, and profitability of the 'Farta Velhaco' banana (AAB, Plantain subgroup) subjected to increasing planting densities. The treatments consisted of four planting densities – 3,333, 2,222, 1,666, and 1,333 plants per hectare, whose spacings between plants were, respectively, 1.0, 1.5, 2.0, and 2.5 m in the planting rows, arranged in a randomized complete block design, with four replicates. The planting density of 3,333 plants per hectare (4.0x2.0x1.0 m) provided yield increases, without affecting the fruit commercial standards. Although this spacing resulted in a higher production cost (US$ 5,634.06), it provided a higher operating profit (US$ 13,444.48). Therefore, the increases in planting density of up to 3,333 plants per hectare increment crop yield, without affecting the commercial quality of the fruit. The economic profitability is higher when using 3,333 plants per hectare (4.0x2.0x1.0 m), which is the most suitable plant density, considering the main morphological characteristics, as well as yield and fruit quality, in a production cycle.
DOI: 10.6084/m9.figshare.19944718.v1
title: Agroeconomic viability of 'Farta Velhaco' banana plantations at increasing planting densities in the state of Mato Grosso, Brazil

description: Abstract The objective of this work was to evaluate the morphological characteristics, yield, fruit quality, and profitability of the 'Farta Velhaco' banana (AAB, Plantain subgroup) subjected to increasing planting densities. The treatments consisted of four planting densities – 3,333, 2,222, 1,666, and 1,333 plants per hectare, whose spacings between plants were, respectively, 1.0, 1.5, 2.0, and 2.5 m in the planting rows, arranged in a randomized complete block design, with four replicates. The planting density of 3,333 plants per hectare (4.0x2.0x1.0 m) provided yield increases, without affecting the fruit commercial standards. Although this spacing resulted in a higher production cost (US$ 5,634.06), it provided a higher operating profit (US$ 13,444.48). Therefore, the increases in planting density of up to 3,333 plants per hectare increment crop yield, without affecting the commercial quality of the fruit. The economic profitability is higher when using 3,333 plants per hectare (4.0x2.0x1.0 m), which is the most suitable plant density, considering the main morphological characteristics, as well as yield and fruit quality, in a production cycle.
DOI: 10.6084/m9.figshare.19944719
title: Genotypic and phenotypic parameters associated with early maturity in soybean

description: Abstract The objective of this work was to estimate genotypic and phenotypic parameters associated with early maturity, and to select soybean (Glycine max) progenies that are high yielding and early maturing. F3:4 and F3:5 progenies were evaluated during the 2016/2017 and 2017/2018 crop years in five environments. Data on days to full maturity, days to flowering, and grain yield were collected and analyzed using the mixed model approach. Genotypic and phenotypic parameters, expected and achieved selection gains, and correlated responses were estimated. The components genetic variation and genotype x environment interaction were significant. Heritability fluctuated from 50.14%, for grain yield, to 90.37%, for full maturity. The achieved genetic gain for full maturity ranged from −0.17 to −2.57%. A positive correlation was observed among the three evaluated traits. The selection of 5.0% of the earliest-maturing soybean progenies would reduce mean grain yield by about 5.02%, but also reduce time to reach full maturity from 125 to 119 days, in detriment of 210.5 kg ha−1 potential yield. Five progenies reached full maturity up to 120 days. Progeny 51 overperformed the more productive parent (NK 7074 RR), with a grain yield of 4,975 kg ha−1 and 128 days to full maturity.
DOI: 10.6084/m9.figshare.19944719.v1
title: Genotypic and phenotypic parameters associated with early maturity in soybean

description: Abstract The objective of this work was to estimate genotypic and phenotypic parameters associated with early maturity, and to select soybean (Glycine max) progenies that are high yielding and early maturing. F3:4 and F3:5 progenies were evaluated during the 2016/2017 and 2017/2018 crop years in five environments. Data on days to full maturity, days to flowering, and grain yield were collected and analyzed using the mixed model approach. Genotypic and phenotypic parameters, expected and achieved selection gains, and correlated responses were estimated. The components genetic variation and genotype x environment interaction were significant. Heritability fluctuated from 50.14%, for grain yield, to 90.37%, for full maturity. The achieved genetic gain for full maturity ranged from −0.17 to −2.57%. A positive correlation was observed among the three evaluated traits. The selection of 5.0% of the earliest-maturing soybean progenies would reduce mean grain yield by about 5.02%, but also reduce time to reach full maturity from 125 to 119 days, in detriment of 210.5 kg ha−1 potential yield. Five progenies reached full maturity up to 120 days. Progeny 51 overperformed the more productive parent (NK 7074 RR), with a grain yield of 4,975 kg ha−1 and 128 days to full maturity.
DOI: 10.6084/m9.figshare.19944727
title: Yield and resistance of tomato rootstocks to Meloidogyne arenaria in a greenhouse

description: Abstract The objective of this work was to evaluate tomato rootstocks with the Mi resistance gene for nematode control and fruit yield, in a greenhouse naturally infested with Meloidogyne arenaria. The experiment was carried out in a randomized complete block design with four treatments (three resistant rootstocks and the Barbaros susceptible cultivar) and four replicates per treatment. 'Barbaros' was grafted onto the 'Arazi', 'Beauford', and 'King Kong' rootstocks, and compared with nongrafted 'Barbaros'. The maximum daily ambient temperatures in the greenhouse was above 28°C, in some days, during the growing period. The grafted tomato had a lower galling index and egg production than the susceptible tomato; however, no significant differences were observed between the three rootstocks. Likewise, there was no difference for the total cumulative fruit yield between rootstocks. All grafted tomatoes also had significantly higher fruit yields than the nongrafted control. The rootstocks provided fruit yields from 40.07% to 63.86% higher than that of the susceptible control in the nematode-infested soil. The rootstocks with the Mi resistance gene favor a higher tomato fruit yields and inhibit the nematode increase in soils infested with M. arenaria.
DOI: 10.6084/m9.figshare.19944727.v1
title: Yield and resistance of tomato rootstocks to Meloidogyne arenaria in a greenhouse

description: Abstract The objective of this work was to evaluate tomato rootstocks with the Mi resistance gene for nematode control and fruit yield, in a greenhouse naturally infested with Meloidogyne arenaria. The experiment was carried out in a randomized complete block design with four treatments (three resistant rootstocks and the Barbaros susceptible cultivar) and four replicates per treatment. 'Barbaros' was grafted onto the 'Arazi', 'Beauford', and 'King Kong' rootstocks, and compared with nongrafted 'Barbaros'. The maximum daily ambient temperatures in the greenhouse was above 28°C, in some days, during the growing period. The grafted tomato had a lower galling index and egg production than the susceptible tomato; however, no significant differences were observed between the three rootstocks. Likewise, there was no difference for the total cumulative fruit yield between rootstocks. All grafted tomatoes also had significantly higher fruit yields than the nongrafted control. The rootstocks provided fruit yields from 40.07% to 63.86% higher than that of the susceptible control in the nematode-infested soil. The rootstocks with the Mi resistance gene favor a higher tomato fruit yields and inhibit the nematode increase in soils infested with M. arenaria.
DOI: 10.6084/m9.figshare.19944728
title: Correlations between agronomic characters in garlic

description: Abstract The objective of this work was to evaluate the phenotypic correlations between agronomic characters of garlic (Allium sativum) and to carry out the path analysis, using commercial bulb yield as the main character. The experiment was conducted under field conditions in two harvests (2018 and 2019) in the municipality of Diamantina, in the state of Minas Gerais, Brazil. A total of 13 garlic genotypes were evaluated, of which 11 were experimental and 2 were commercial cultivars. The experimental design used was randomized complete blocks with four replicates. Characters related to plant biometry and bulb yield were evaluated. The phenotypic correlations and the path analysis of the studied characters were carried out. The phenotypic correlations that showed significant positive effects occurred between commercial bulb yield and plant height, bulb diameter, number of commercial bulbs, mean total bulb mass, mean commercial bulb mass, total bulb yield, and number of bulbils per bulb. However, only number of commercial bulbs and bulb diameter had significant effects (direct and indirect) on commercial bulb yield. Therefore, in genotype genetic breeding programs in the studied region, selection should seek a larger diameter of bulbs and a higher number of commercial bulbs to increase commercial yield.
DOI: 10.6084/m9.figshare.19944728.v1
title: Correlations between agronomic characters in garlic

description: Abstract The objective of this work was to evaluate the phenotypic correlations between agronomic characters of garlic (Allium sativum) and to carry out the path analysis, using commercial bulb yield as the main character. The experiment was conducted under field conditions in two harvests (2018 and 2019) in the municipality of Diamantina, in the state of Minas Gerais, Brazil. A total of 13 garlic genotypes were evaluated, of which 11 were experimental and 2 were commercial cultivars. The experimental design used was randomized complete blocks with four replicates. Characters related to plant biometry and bulb yield were evaluated. The phenotypic correlations and the path analysis of the studied characters were carried out. The phenotypic correlations that showed significant positive effects occurred between commercial bulb yield and plant height, bulb diameter, number of commercial bulbs, mean total bulb mass, mean commercial bulb mass, total bulb yield, and number of bulbils per bulb. However, only number of commercial bulbs and bulb diameter had significant effects (direct and indirect) on commercial bulb yield. Therefore, in genotype genetic breeding programs in the studied region, selection should seek a larger diameter of bulbs and a higher number of commercial bulbs to increase commercial yield.