Fermentative losses and lactic acid content of elephant grass silages added with macaúba cake

Elephant grass is indicated for silage production but requires additives to increase dry matter content because it reduces the production of effluents, potentially improves the fermentation pattern, and preserves the nutrients of the silage. This study aimed to evaluate the effects of including macaúba cake in elephant grass ensilage on dry matter content, lactic acid bacteria population, lactic acid production, pH values, losses by gases and effluents, and dry matter recovery. The experimental design was completely randomized, in a 3x6 factorial scheme, with three levels of inclusion of macaúba cake (0, 10, and 20%) and six opening times (1, 5, 10, 20, 40, and 60 days after ensilage), with four repetitions. Macaúba cake was an effective moisture-absorbing additive, increasing dry matter content, lactic acid bacteria population, and lactic acid content and reducing the pH. The losses by effluents and gases decreased, and dry matter recovery increased with the addition of this biodiesel co-product. The 20% level of inclusion of macaúba cake in elephant grass ensilage allowed for better preserving the ensiled material.

Longitudinal data assessment of global stability index in kale leaves

Kale plants are usually sold in natura in street markets and malls. Kale leaves can have their appearance compromised by dehydration and discoloration due to increased post-harvest time exposure. We aimed to analyze the Global Stability Index (GSI) in kale accessions by means of repeated measurement analysis and curve grouping as a complementary form of superior sample identification with regard to post-harvest preservation. Thirty kale accessions were evaluated using a randomized block design with four blocks and five plants per plot. Two commercial leaves per plant were collected, and kept on workbenches in the shade at a temperature of 18 ± 1 °C. Subsequently, the degrees of discoloration and dehydration, total chlorophyll content, and accumulated fresh mass loss were evaluated over a 15-day period. From these data, the GSI was calculated for each day of evaluation. In addition, using mixed models, thirteen co-variance structures were tested. For graphical analysis, thirteen linear and non-linear models were assessed followed by curve grouping using multivariate analysis. The GSI was efficient for differentiating accessions, which became an important tool in post-harvest studies. GSI values were not equally correlated, therefore the use of mixed models became an important approach. The unstructured matrix was the best fit to model the dependence of error. The Melow I model was the best fit for studying the GSI. The accessions UFVJM-10, UFLA-1, COM-1, UFVJM-32, COM-3, UFVJM-8, UFVJM-36 and UFVJM-24, belonging to 3 and 5 clusters, are recommended for crop cultivation and as parental material in breeding programs.(AU)

Longitudinal data assessment of global stability index in kale leaves

Kale plants are usually sold in natura in street markets and malls. Kale leaves can have their appearance compromised by dehydration and discoloration due to increased post-harvest time exposure. We aimed to analyze the Global Stability Index (GSI) in kale accessions by means of repeated measurement analysis and curve grouping as a complementary form of superior sample identification with regard to post-harvest preservation. Thirty kale accessions were evaluated using a randomized block design with four blocks and five plants per plot. Two commercial leaves per plant were collected, and kept on workbenches in the shade at a temperature of 18 ± 1 °C. Subsequently, the degrees of discoloration and dehydration, total chlorophyll content, and accumulated fresh mass loss were evaluated over a 15-day period. From these data, the GSI was calculated for each day of evaluation. In addition, using mixed models, thirteen co-variance structures were tested. For graphical analysis, thirteen linear and non-linear models were assessed followed by curve grouping using multivariate analysis. The GSI was efficient for differentiating accessions, which became an important tool in post-harvest studies. GSI values were not equally correlated, therefore the use of mixed models became an important approach. The unstructured matrix was the best fit to model the dependence of error. The Melow I model was the best fit for studying the GSI. The accessions UFVJM-10, UFLA-1, COM-1, UFVJM-32, COM-3, UFVJM-8, UFVJM-36 and UFVJM-24, belonging to 3 and 5 clusters, are recommended for crop cultivation and as parental material in breeding programs.