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ABSTRACT Green manures are an alternative for substituting or supplementing mineral nitrogen fertilizers. The aim of this study was to quantify biological N fixation (BNF) and the N contribution derived from BNF (N-BNF) to N levels in leaves of coffee intercropped with legumes grown on four family farms located in the mountainous region of the Atlantic Forest Biome in the state of Minas Gerais, Brazil. The following green manures were evaluated: pinto peanuts (Arachis pintoi), calopo (Calopogonium mucunoides), crotalaria (Crotalaria spectabilis), Brazilian stylo (Stylosanthes guianensis), pigeon pea (Cajanus cajan), lablab beans (Dolichos lablab), and velvet beans (Stizolobium deeringianum), and spontaneous plants. The experimental design was randomized blocks with a 4 × 8 factorial arrangement (four agricultural properties and eight green manures), and four replications. One hundred grams of fresh matter of each green manure plant were dried in an oven to obtain the dry matter. We then performed chemical and biochemical characterizations and determined the levels of 15N and 14N, which were used to quantify BNF through the 15N (δ15N) natural abundance technique. The legumes C. mucunoides, S. guianensis, C. cajan, and D. lablab had the highest rates of BNF, at 46.1, 45.9, 44.4, and 42.9 %, respectively. C. cajan was the legume that contributed the largest amount of N (44.42 kg ha-1) via BNF.C. cajan, C. spectabilis, and C. mucunoides transferred 55.8, 48.8, and 48.1 %, respectively, of the N from biological fixation to the coffee plants. The use of legumes intercropped with coffee plants is important in supplying N, as well as in transferring N derived from BNF to nutrition of the coffee plants.

Agroforestry systems may show low CO2 efflux, and CO2 efflux contributes to sustainability. This work aimed to evaluate the soil CO2 efflux in coffee plantations cultivated in agroforestry and full-sun systems during the winter in high-altitude tropical climate regions. The work was carried out at three family farms (RO, GI, and PA) in Minas Gerais, Brazil. Two treatments were established: coffee with and without trees, and 20 sampling spots for soil and gases. The air and soil temperatures in the agroforestry systems were lower than in the full-sun systems. The soil moisture content in agroforestry systems was higher than full-sun only on the GI. Except for the agroforestry systems in PA, all the other systems showed an increase in CO2 efflux with increasing soil moisture. This increase was more pronounced in agroforestry systems (RO), followed by full sun (RO). On the GI farm, this correlation was lower in the agroforestry system. Soil CO2 efflux was positively correlated with soil temperature and negatively correlated with total nitrogen, labile carbon and total organic carbon. Therefore, despite the microclimate stability promoted by the agroforestry systems in the winter, no decrease in the soil CO2 efflux was observed when compared to full sun systems.

ABSTRACT present study aimed to determine the effects of different light restriction levels (shading levels) on soybean genetic parameters using a Bayesian multi-trait model (MTM) and select high-yielding soybean cultivars. Eighteen commercial soybean cultivars bred in a soybean breeding program were evaluated over two agricultural seasons. Three shading levels were used over two agricultural crop seasons, giving six treatments (light restriction × crop season). The experiments were arranged in a randomized complete block design with six treatments replicated thrice. The genetic values and parameters were estimated using a Monte Carlo Markov Chain algorithm. Broad-sense heritability range from 0.2093 to 0.7153. The lowest genotypic variance estimate was observed at the 45 % photosynthetically active radiation level in the 2019/2020 crop season year compared with that of other shading levels. Furthermore, a 40 % selection intensity had the highest soybean yield under different shading levels. The Bayesian MTM combined with the factor analysis and genotype-ideotype distance method can be used to evaluate and select soybean genotypes considering different shading levels. The soybean cultivars 8579RSF, NS8338, NS7901, NS7667, RK8115, and 8473RSF had higher genetic potential than other cultivars under different shading levels.

Potassium is a source of non-renewable natural resource, and is used in large quantities in coffee fertilization through basically imported formulations in the form of potassium chloride. An alternative to make production systems more sustainable would be obtaining cultivars more efficient in the use of this nutrient. This study aimed to evaluate the genetic diversity among 20 cultivars of coffee, in conditions of low availability of potassium to identify the best combinations for composing future populations to be used in breeding programs. The experiment was arranged in a randomized block design with three replications of nutrient solution. Agronomic characteristics and efficiencies of rooting, absorption, translocation, biomass production and potassium utilization were evaluated. The clustering analysis was based on the unweighted pair group method with arithmetic mean clustering algorithm (UPGMA) and canonical variables. Variability was observed for most treatments. The multivariate procedures produced similar discrimination of genotypes, with the formation of five groups. Hybridizations between the cultivar Icatu Precoce IAC 3283 with cultivars Catuaí Amarelo IAC 62, Araponga MG1, Caturra Vermelho IAC 477, Catuaí Vermelho IAC 15, Rubi MG 1192 and Catucaí 785/15, and between the cultivar Tupi IAC 1669-33 with cultivars Icatu Vermelho IAC 4045, Acaiá Cerrado MG 1474 and Oeiras MG 6851 are the most promising for obtaining segregating populations or heterotic hybrids in breeding programs aiming more efficiency in potassium utilization.

Este trabalho teve como objetivo comparar a adaptabilidade e estabilidade de cultivares de café quanto à média de produtividade anual e de biênios, pelo método de EBERHART & RUSSEL (1996), e selecionar cultivares de café para o cultivo orgânico em Minas Gerais. Os experimentos foram conduzidos em três locais, em delineamento de blocos casualizados com trinta genótipos e três repetições. Uma análise se baseou na produtividade média anual de quatro colheitas (2005/2006, 2006/2007, 2007/2008 e 2008/2009) com o total de doze ambientes. A outra análise considerou a média de dois biênios (2005/2006 e 2006/2007; 2007/2008 e 2008/2009) com o total de seis ambientes. A análise em que se considerou a média da produtividade do biênio apresentou redução expressiva do coeficiente de variação ambiental. Por isso, foi possível identificar mais cultivares com adaptabilidade e estabilidade para o cultivo orgânico. Conclui-se que a análise de adaptabilidade e estabilidade com base na produtividade de biênio é mais segura para a seleção de cultivares. Considerando essa premissa, as cultivares 'Catucaí Vermelho 36/6', 'Catuaí Vermelho IAC 15' e 'Siriema 842' são indicadas somente para os ambientes favoráveis. As cultivares 'Sabiá 708', 'IBC Palma 1', 'Catucaí Amarelo 24/137', 'Oeiras MG 6851' e as linhagens H518 e H514 são indicadas para o cultivo orgânico em locais com ambientes similares aos avaliados em Minas Gerais.

Avaliaram-se 10 linhagens de pimentão (Capsicum annuum L.) quanto à eficiência nutricional em relação ao P, bem como a dose de P mais adequada para estudos genéticos, e o caráter que mais contribuiu para a divergência genética. O experimento foi conduzido em casa de vegetação, em solo, na Universidade Federal de Viçosa. Os tratamentos foram distribuídos em arranjo fatorial 10 x 5 x 4, constituídos de 10 linhagens, cinco doses de P (0, 250, 500, 750 e 1.000 mg de P/kg de solo) e quatro repetições, em delineamento de blocos casualizados. Em cada dose de P aplicada ao solo foi realizada uma análise multivariada. Constatou-se variabilidade genética entre as linhagens estudadas em todas as doses de P adicionadas ao solo, sendo a dose 250 mg de P/kg de solo a que melhor discriminou as linhagens; portanto, a mais indicada para estudos genéticos. Com essa dosagem, constatou-se que a produção de matéria seca da parte aérea foi o caráter que mais contribuiu para a divergência genética entre as linhagens, podendo ser um parâmetro adequado para seleção em estudos genéticos.Ten sweet pepper (Capsicum annuum L.) lines were screened for P nutritional efficiency, as well as for the most adequate P dose for genetic studies and the character that most contributed for genetic divergence. An experiment was conducted in soil sack, in a greenhouse at Universidade Federal de Viçosa, UFV, Brazil. The treatments were arranged in a factorial layout (10 x 5) x 4, comprising ten lines, five doses of P (0, 250, 500, 750 and 1,000 mg P/kg of soil) and four replicates, in a randomized block design. A multivariate analysis was performed for each dose of P applied in the soil. There was genetic divergence among lines in every dose of P studied. The dose 250 mg P/kg of soil was considered as the best to rank the lines, therefore, it is indicated for genetic studies. With this dose, shoot dry matter was the trait that contributed most for genetic divergence among lines, and it should be an adequate parameter for screening for P efficiency in genetic studies.