https://www.alice.cnptia.embrapa.br/alice/handle/item/12 Embrapa Cerrados (CPAC) Wed, 12 Aug 2026 21:48:42 GMT 2026-08-12T21:48:42Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1189112 Título: Predicting nitrous oxide emissions from soil planted to sugarcane under various irrigation regimes using machine learning models. Autoria: BONATO, R. T.; BORGES, L. DE A. B.; CARVALHO, A. M. de; OLIVEIRA, A. D. de; SOUSA, T. R.; RAMOS, M. L. G.; RIBEIRO JUNIOR, W. Q.; MARCHAO, R. L.; SILVA, F. A. M. da; BORGES, D. L. Conteúdo: Nitrous oxide (N2O) is a potent greenhouse gas with about 60% of its emissions are attributed to agricultural activities. Its fluxes are influenced by a range of crop-specific factors, such as nitrogenous fertilizer inputs, soil N availability, tillage practices, temperature, pH and soil moisture. These factors interact in complex, nonlinear ways, creating the need for predictive modeling of N2O emissions to both improve understanding and estimation and identify mitigating strategies. This proposes proposes data-driven machine learning techniques, particularly multilayer perceptron and random forest (RF) algorithms, for estimating soil N2O fluxes in a sugarcane plantation under different irrigation regimes and to contrast machine learning results with conventional analytical methods. The findings indicate that RF modeling achieved a coefficient of determination of 87.4% for N2O emission prediction, and identified ammonium, nitrogen nitrate, soil temperature, and water-filled pore space as the most influential predictors, in that order. The results open new possibilities for integrating machine learning to study N2O fluxes in sugarcane and other major crops. All data and code used in this study are provided openly to support further research. Thu, 01 Jan 2026 00:00:00 GMT https://www.alice.cnptia.embrapa.br/alice/handle/doc/1189112 2026-01-01T00:00:00Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1189104 Título: Phenotypic variability and correlations of seed yield and seed quality traits in Urochloa ruziziensis (R. Germ. & Evrard) Crins genotypes. Autoria: SANTOS, E. M. dos; CARMONA, R.; KARIA, C. T.; FONSECA, C. E. L. da; RAMOS, A. K. B.; PESSOA FILHO, M. A. C. de P. Conteúdo: Tropical forage seed production is strategically important to Brazil, and integrated crop-livestock-forest systems create a continuous demand for superior Urochloa ruziziensis cultivars. Optimizing commercial seed yield and quality is challenging, due to the inherent complexity of reproductive traits, seed dormancy, and highly variable seed filling. This study aimed to assess the phenotypic variability and correlations among 24 U. ruziziensis genotypes previously selected for high forage yield. Plants were evaluated for key flowering traits, filled seed mass, seed filling percentage, seed viability, germination rates, and seed dormancy. The results confirmed the existence of broad and significant phenotypic variability among the tested genotypes across all components of yield, quality, and dormancy, showing substantial potential for genetic improvement. Crucially, strong positive correlations were established between essential flowering components, such as the number of inflorescences per plant, and subsequent filled seed mass and seed viability. This study successfully identified elite genotypes exhibiting superior combined yield and quality, as well as specific genotypes with notably low dormancy. The identified genetic diversity and trait correlations provide criteria for guiding selection efforts in similar environments for U. ruziziensis breeding programs. Thu, 01 Jan 2026 00:00:00 GMT https://www.alice.cnptia.embrapa.br/alice/handle/doc/1189104 2026-01-01T00:00:00Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1188900 Título: Diversity and structure genetic of the calopogonium mucunoides desv. germplasm and assembling core collection. Autoria: SOUSA, A. C. B. de; CARVALHO, M. A.; CAMPOS, T. de; SILVA, G. de T. e; ZUCCHI, M. I.; JANK, L.; SOUZA, A. P. de Conteúdo: In this study, the core collection of the germplasm bank of C. mucunoides was extracted without any stratification following the so-called M-method described by Gouesnard et al. (2001). The 93 alleles identified at the 17 microsatellite loci were fully represented by as few as 15 accessions. Figure 2 shows the percentage of the total number of alleles as a function of the increasing number of accessions extracted by our software. The core collection was represented by accessions from Colombia, Brazil, Peru, Panama, Mexico, Indonesia and Venezuela (Table 1). This result can be justified by mixed reproduction system of C. mucunoides with a predominance of autogamy. This factor can contribute to higher proportions of homozygous accessions or crosses between close relatives within natural conditions. Sat, 01 Jan 2011 00:00:00 GMT https://www.alice.cnptia.embrapa.br/alice/handle/doc/1188900 2011-01-01T00:00:00Z https://www.alice.cnptia.embrapa.br/alice/handle/doc/1188837 Título: Outcrossing rate in calopogonium mucunoides desv. based on microsatellite markers. Autoria: SOUSA, A. C. B. de; CARVALHO, M. A.; CAMPOS, T. de; SILVA, G. de T. e; ZUCCHI, M. I.; JANK, L.; ANETE PEREIRA DE SOUZA Conteúdo: Calopogonium mucunoides Desv. is used as a grazing legume, green manure, pioneer legume and soil cover crop mucunoides has a high nitrogen fixing capability, which is why it is cultivated in soils with low pH and poor fertility. This species is characterized by a moderate resistance to drought, but it does not tolerate low temperature. This work presents the outcrossing rate estimated after the evaluation of six microsatellite loci in 200 genotypes originated from 10 open-pollinated progenies (20 genotypes per progeny). Sat, 01 Jan 2011 00:00:00 GMT https://www.alice.cnptia.embrapa.br/alice/handle/doc/1188837 2011-01-01T00:00:00Z