Yield Values Research Articles

Determination of radiation shielding performance of phospo-silicate glass by introducing tellurite oxide modifier

Current research investigated the performance of phosphor-silicate glasses as gamma-ray shields. The mass attenuation coefficients (μ/ρ) of the chosen glasses were determined using the both Phy-x/PSD and WinXcom codes. From the results obtained, both approaches yield (μ/ρ) values that are found to be in good agreement with each other. These values are then used to compute the half-value layer, effective atomic number, mean free path, and energy exposure buildup factors. Taken from the results, the EBFs for the current glasses were observed to be small in the low energy region (in order of unity at E ¼ 0.015 MeV) and then reach maximum value for all glasses at 40 mfp in the high-photon energy region. The obtained results have been contrasted with that of window glasses and a few common shielding concretes. It was found that the chosen glasses are highly effective in gamma shielding applications, as indicated by the lower mean free path values.

Carbonization and Gasification of Cow‐Dung and Fe3O4 Nanoparticles at Different Operating Conditions for Hydrogen Production

AbstractCow dung is an abundant agricultural by‐product that poses disposal challenges. Converting this waste into a valuable energy resource aligns with sustainable waste management practices and contributes to a circular economy. This research aims at Cow dung disposal by carbonization and gasification for hydrogen generation and maximizes it by optimizing the process parameters. In the pyrolysis‐carbonization process, the influence of temperature on cow dung and its biochar characteristics was initially investigated. On the cow dung feedstock, different operating temperatures at about 400, 500, and 600 °C and response times of about 30, 60, and 120 min were tested. With CD450 as the feedstock, the gas concentrations and hydrogen yield were around 62 vol% and 0.69 m3 kg−1, respectively, for longer reaction times. Similar to this, the gas concentration and yield value for hydrogen at 600 °C gasification temperature is around 64 vol% and 0.91 m3 kg−1. Cow dung is evidently acceptable for larger hydrogen production at higher gasification temperatures and reaction times when the carbonization temperature is 450 °C. In addition, when compared to feedstock without adding nanoparticles, including Fe3O4 nanoparticles may increase the hydrogen concentration and yield by around 13.5 % and 4.21 %, respectively.

Effects of different rootstocks on the growth and yield characteristics of Papazkarası (Vitis vinifera L.)

Rootstocks, which are becoming increasingly important in viticulture, influence the growth, yield, and grape quality of the grafted variety. Therefore, understanding the resistance characteristics of rootstocks to phylloxera, nematodes, environmental conditions, and abiotic and biotic stresses is crucial. Selecting a rootstock that is appropriate for the region where the vineyard will be established optimizes grape quality. The aim of this research is to determine the performance of the cv. Papazkarası on different rootstocks. For this purpose, an experiment was established at Irem Çamlica Viticulture and Winery Co. vineyard in Kırklareli province. Ten-year-old Papazkarası vines grafted onto 1103P, 110R, and 420A rootstocks were used as plant material. To determine the growth of the vines, parameters such as shoot elongation rate (cm/week), shoot length changings (cm), pruning wood weight (PW) (kg/vine), vigor (g), puissance, number of buds per square meter (number), balanced pruning buds number (number/vine), vegetative growth (VG), Ravaz Index (RI), Partridge Index (PI), and yield (kg/vine) were examined. Additionally, to determine cluster characteristics, cluster width and length (cm), weight (g), and the volume of gappy and spaceless clusters (cm³) were measured. The results of the research indicated that the 1103P rootstock had the lowest yield, puissance, RI, PI, and VG values; moderate values for PW, vigor, number of shoots, number of berries per cluster, and cluster length; and the highest values for cluster weight, the volume of gappy and spaceless clusters. The 110R rootstock was found to be more balanced compared to other rootstocks, with the highest values for vigor, RI, and PI; average values for yield, puissance, and VG; and the lowest values for PW, number of shoots, number of berries per cluster, cluster length, weight, and the volume of gappy and spaceless clusters. The 420A rootstock had the highest values for yield, PW, VG, number of shoots, number of berries per cluster, and cluster width and length; average values for RI, PI, cluster weight, and the volume of gappy and spaceless clusters; and the lowest value for one-year-old cane weight. In conclusion, based on the characteristics outlined, a selection can be made from these rootstocks according to cultivation purposes, but other rootstocks should also be investigated.

Transcriptome Analysis and Identification of Genes Associated with Cotton Seed Size.

Cotton seeds, as the main by-product of cotton, are not only an important raw material for edible oil and feed but also a source of biofuel. The quality of cotton seeds directly affects cotton planting and is closely related to the yield and fiber quality. However, the molecular mechanism governing cotton seed size remains largely unexplored. This study investigates the regulatory mechanisms of cotton seed size by focusing on two cotton genotypes, N10 and N12, which exhibit notable phenotypic variations across multiple environments. Developing seeds were sampled at various stages (5, 20, 30, and 35 DPA) and subjected to RNA-seq. Temporal pattern clustering and WGCNA on differentially expressed genes identified 413 candidate genes, including these related to sugar metabolism that were significantly enriched in transcriptional regulation. A genetic transformation experiment indicated that the overexpression of the GhUXS5 gene encoding UDP-glucuronate decarboxylase 5 significantly increased seed size, suggesting an important role of GhUXS5 in regulating cotton seed size. This discovery provides crucial insights into the molecular mechanisms controlling cotton seed size, helping to unravel the complex regulatory network and offering new strategies and targets for cotton breeding to enhance the economic value of cotton seeds and overall cotton yield.

Availability, Biomass Yield, and Nutritional Values of Fodder Tree Leaves in Mirab Abaya District in Southern Ethiopia

Availability, Biomass Yield, and Nutritional Values of Fodder Tree Leaves in Mirab Abaya District in Southern Ethiopia

Recycling of Rare Earth Elements: From E-Waste to Stereoselective Catalytic Reactions.

Raw mixtures of Rare Earths Elements, REE, recovered by E-waste, were used as catalysts to promote the (stereoselective) synthesis of highly valuable compounds. Y2O3, the major species that is recovered by the E-waste, can be easily converted into the catalytically active Y(OTf)3 that is able to efficiently promote the Michael addition of indoles to benzylidene malonates and the stereoselective Diels-Alder cycloaddition between cyclopentadiene and 4-(S)-3 acryloyl 4-tert-butyl 2-oxazolidinone. Additionally, the raw mixtures were immobilized onto silica and used to construct packed reactors, resulting in values for Productivity and Space-Time Yields that were significantly higher than those of the corresponding batch conversions. Notably, the prepared cartridge employed in the model Michael reaction maintained its catalytic efficiency for more than 4 days of continuous running.

Impacts of climate change on spatial wheat yield and nutritional values using hybrid machine learning

Abstract Wheat’s nutritional value is critical for human nutrition and food security. However, more attention is needed, particularly regarding the content and concentration of iron (Fe) and zinc (Zn), especially in the context of climate change (CC) impacts. To address this, various controlled field experiments were conducted, involving the cultivation of three wheat cultivars over three growing seasons at multiple locations with different soil and climate conditions under varying Fe and Zn treatments. The yield and yield attributes, including nutritional values such as nitrogen (N), Fe and Zn, from these experiments were integrated with national yield statistics from other locations to train and test different machine learning (ML) algorithms. Automated ML leveraging a large number of models, outperformed traditional ML models, enabling the training and testing of numerous models, and achieving robust predictions of grain yield (GY) (R 2 > 0.78), N (R 2 > 0.75), Fe (R 2 > 0.71) and Zn (R 2 > 0.71) through a stacked ensemble of all models. The ensemble model predicted GY, N, Fe, and Zn at spatial explicit in the mid-century (2020–2050) using three Global Circulation Models (GCMs): GFDL-ESM4, HadGEM3-GC31-MM, and MRI-ESM2-0 under two shared socioeconomic pathways (SSPs) specifically SSP2-45 and SSP5-85, from the downscaled NEX-GDDP-CMIP6. Averaged across different GCMs and SSPs, CC is projected to increase wheat yield by 4.5%, and protein concentration by 0.8% with high variability. However, it is expected to decrease Fe concentration by 5.5%, and Zn concentration by 4.5% in the mid-century (2020–2050) relative to the historical period (1980–2010). Positive impacts of CC on wheat yield encountered by negative impacts on nutritional concentrations, further exacerbating challenges related to food security and nutrition.

Perovskite Nanocrystals Initiate One‐Step Oxygen Tolerant PET‐RAFT Polymerization of Highly Loaded, Efficient Plastic Nanocomposites

AbstractLead halide perovskite nanocrystals (LHP‐NCs) incorporated within polymer matrices have emerged as promising materials for various photonic applications. However, challenges persist in achieving high‐quality nanocomposites due to low monomer conversion yields, restricted LHP‐NCs loadings, and difficulty in maintaining NCs integrity post‐polymerization. A novel protocol for synthesizing LHP‐NCs/poly(methyl methacrylate) nanocomposites in a single step via the NC‐initiated photoinduced electron transfer‐reversible addition‐fragmentation chain transfer (PET‐RAFT) method is presented. Polymerization initiation mediated by NCs surfaces under blue light enables the fabrication of homogeneous nanocomposites with NCs loadings up to 7% w/w and ≈90% monomer conversion even in the presence of oxygen. This process preserves the optical quality of the NCs and passivates NCs surface defects, resulting in nanocomposites exhibiting near unity luminescence efficiencies. The potential of this approach for producing highly loaded nanocomposites for radiation detection is validated by radioluminescence measurements showing light yield values of 6000 ph MeV−1 and fast scintillation dynamics with effective lifetime of 490 ps, showing promise for time‐of‐flight radiometry.

Analysis of Spatial Distribution of Ecosystem Services and Driving Factors in Northeast China

Northeast China is an important ecological barrier in China, and an in-depth understanding of the spatial distribution in ecosystem services （ESs）, and the driving factors is crucial for realizing the subsequent management and protection of ESs. In the study, we quantitatively assessed the characteristics of spatial distribution in ESs in Northeastern China using the InVEST, RWEQ, and RUSLE models and identified the driving factors of ESs spatial distribution in conjunction with the geodetector based on meteorological data, remote sensing data, and socio-economic data. The results showed that the spatial distribution of ESs in Northeast China had obvious spatial heterogeneity. The high values of habitat quality （HQ）, carbon sequestration （CS） services, and soil conservation （SC） services were mainly distributed in the northern part of the four eastern leagues of the Inner Mongolia Autonomous Region, the northern part of Heilongjiang Province, and the eastern part of Northeast China, which were high in fraction vegetation cover, and low values were mainly found in southwestern and eastern Heilongjiang Province, western Jilin Province, and western Liaoning Province. The high values of the water yield （WY） service and wind prevention and sand fixation （WPSF） service were distributed in the east of the Inner Mongolia Autonomous Region and the east of Liaoning Province. The high values of WY services and WPSF services were distributed in the eastern part of Northeast China and the four eastern provinces of the Inner Mongolia Autonomous Region. According to the geodetector results, slope had the strongest explanatory power for the spatial distribution of SC services with a q-value of 0.31, land use/cover change had the strongest explanatory power for the spatial distribution of HQ and CS services with q-values of 0.64 and 0.52, respectively, and fraction vegetation coverage and annual precipitation had the strongest explanatory power for the spatial distribution of WPSF and WY services with q-values of 0.24 and 0.64, respectively, and there were interactions among all the driving factors. The spatial distribution of ESs in Northeast China was mainly influenced by natural factors. The results will provide a scientific basis for subsequent management and enhancement of ESs in Northeast China.

Annual and seasonal dry matter production, botanical species composition, and nutritive value of multispecies, permanent pasture, and perennial ryegrass swards managed under grazing

AbstractReduced reliance on inputs such as fertilizer is fundamental to sustainable grazing systems. This two‐year study compared four sward types, including multispecies swards (MSS), for herbage dry matter (DM) production, species contribution to DM, and herbage nutritive value under grazing. The systems were: (1) Lolium perenne L. monoculture (PRG; 170 kg N ha−1 year−1); (2) permanent pasture (PP; 135 kg N ha−1 year−1), (3) six species sward consisting of two grasses, two legumes and two herbs (6S; 70 kg N ha−1 year−1), (4) twelve species sward consisting of three grasses, four legumes and five herbs (12S; 70 kg N ha−1 year−1). Herbage samples were collected for DM yield, botanical composition, and nutritive value. Mean annual DM production for PRG, PP, 6S, and 12S was 11,374, 8526, 13,783, and 13,338 kg DM ha−1 respectively. Herb proportions decreased in 6S and 12S from 2020 to 2021 while grass proportions increased. Mean crude protein levels were similar across all systems (p > 0.05), with higher ash content in 6S and 12S compared to PRG (p < 0.001). Organic matter digestibility was lowest in PP compared to PRG (p < 0.001) while neutral detergent fibre content of PP and PRG were greater than 6S and 12S (p < 0.001). Water soluble carbohydrate content was highest in PRG (p < 0.0001). Over 2 years, MSS delivered increased herbage DM yield and nutritive quality relative to PRG and PP swards, from reduced N inputs. However, maintenance of the herb component of MSS is a challenge.

Fusarium oxysporum causes the root rot disease of Polygonatum cyrtonema in China

Polygonatum cyrtonema, also known as Huangjing, belongs to the Liliaceae family and is a commonly used medicinal and edible plant in Asia. In recent years, P. cyrtonema root rot disease has frequently occurred in China, significantly impacting its yield and medicinal value. However, the pathogen of the disease has not yet been identified. In this study, we aimed to identify the pathogen causing the root rot disease of P. cyrtonema by applying morphological and molecular methods following Koch's postulates. Twelve fungal strains were isolated from nine diseased rhizomes of P. cyrtonema. Morphological analysis showed that the twelve isolates included eight colony types. Among that strain, HJ-5 has the typical characteristics of Fusarium oxysporum, including single-cell microconidia, chlamydospores, and sickle macroconidia. BLAST alignment and phylogenic tree based on the tef1, rpb2, β-tubulin, and ITS genes demonstrated that strain HJ-5 exhibits the highest similarity with Fusarium oxysporum. The strain HJ-5 is identified as F. oxysporum based on morphological and molecular characteristics. In addition, the pathogenicity test showed that among twelve isolates, only strain HJ-5 led to the rhizome softening and rotting on detached rhizomes and living plants of P. cyrtonema, consistent with symptoms observed in the field. To our knowledge, this is the first report on root rot disease in P. cyrtonema caused by F. oxysporum in China, which will provide a clear prevention and management target for the root rot disease of P. cyrtonema.

Unraveling genotypic interactions in sugar beet for enhanced yield stability and trait associations

The interaction between genotype and environment (GEI) significantly influences plant performance, crucial for breeding programs and ultimately boosting crop productivity. Alongside GEI, breeders encounter another hurdle in their quest for yield improvement, notably adverse and negative correlations among pivotal traits. This study delved into the stability of white sugar yield (WSY), root yield (RY), sugar content (SC), extraction coefficient of sugar (ECS), and the interplay among essential traits including RY, SC, alpha amino nitrogen (N), sodium (Na+), and potassium (K+) across 15 sugar beet hybrids and three control varieties. The investigation spanned two locations over two consecutive years (2022–2023), employing a randomized complete block design with four replications to comprehensively analyze these factors. The analysis of variance highlighted the significant effects of environment, genotype, and GEI at the 1% probability level. Notably, the AMMI analysis of GEI revealed the significance of the first component for WSY, RY, and SC, with the first two components proving significant for ECS. Within the linear mixed model (LMM), WSY, RY, SC, and ECS demonstrated significant effects from both genotype and GEI. In the WAASB biplot, genotypes 10, 8, 17, 6, 13, 14, 15, 7, 12, and 16 exhibited stability in WSY, while genotypes 9, 10, 6, 14, 7, 8, 13, 12, 18, and 15 displayed stability in RY. Additionally, genotypes 10, 15, 12, 13, 16, 17, 6, and 14 were stable for SC, and genotypes 8, 10, 7, 6, 13, 12, 16, 17, 15, 14, and 18 showcased stability in ECS, boasting above-average yield values. In the genotype by yield × trait (GYT) biplot, genotypes 15, 18, and 16 emerged as top performers when combining RY with SC, Na+, N, and K+, suggesting their potential for inclusion in breeding programs.

Unravelling the Influence of Extraction Techniques on Protein Yield and Nutritional Value in Lesser Mealworm Larvae.

In the present work, chemical and enzymatic assisted techniques were compared for protein extraction from lesser mealworm larvae (LM, Alphitobius diaperinus), recently approved as a novel food in the European Union. All extracts showed appreciable nutritional quality, with quantities of essential amino acids above the reference standard. Conventional alkali extraction allowed the isolation of only 73% of the protein, preserving the amino acid composition but potentially causing denaturation or racemisation. The "stepwise" method, following the Osborne fractionation, improved protein recovery to 91% by isolating four fractions with different solubility properties. Additionally, enzymatic hydrolysis using Bacillus licheniformis proteases was also tested, and it provided hydrolysates with an average degree of hydrolysis of 14%, making them a potential hypoallergenic solution. Overall, these findings indicate the ability to tailor the composition of LM protein to meet specific needs, offering promising prospects for the use of insect protein ingredients in various applications.

The Impact of Profitability on The Market Value of Industrial Products Companies Listed on The Stock Exchange of Thailand

This article aims to study the impact of profitability on the market value of industrial products companies listed on the Stock Exchange of Thailand. Use a quantitative research methodology by analyzing secondary data from 84 firms, comprising a total of 336 data points. The data is sourced from companies listed on the Stock Exchange of Thailand throughout the period of 2019 to 2022, spanning four years. The data is extracted from annual reports, financial statements, annual information disclosure forms (Form 56-1), and SETSMART. The study used two types of statistics: descriptive statistics, which include minimum and maximum numbers, averages, and standard deviations; and inferential statistics, which include looking at the Pearson correlation coefficient. and studying multiple regression. The research findings indicate the rate of return on assets. Return on equity and net profit margin There is no impact on the market value when considering the ratio of market price to net profit. The rates of return on assets and net profit margin It affects the market value by influencing the ratio of the market price to the book value. The net profit rate is a factor in the market value of the dividend yield. This finding will prove advantageous to investors, executives, and entrepreneurs when evaluating and making informed choices on business administration or investing in the Stock Exchange of Thailand.

Effect of Plant Spacing and Harvesting Stage on Chemical Composition and In-Vitro Digestibility of Desho Grass (Pennisetum Glaucifolium L.) at Midland of Guji, Oromia Region

The experiment was conducted to evaluate appropriate combination harvesting stage and plant spacing on chemical compositions, digestibility and its rumen degradability potentials of Desho grass. Three-by-three randomized complete block design was used to set up the experiment. factorial arrangements in three replications. The experiment employs three harvesting stages (75, 105 and 135 days) and three plant spacing (10, 30 and 50 cm). Prior to planting 100 kg/ha-1 combinations of Nitrogen, phosphate and sulfur fertilizer were applied to all plots. The chemical composition such as CP, DM, TA, NDF, ADF, ADL, cellulose and CPY and DMY yield parameters differed considerably (p<0.01). Hemi cellulose concentration, however, was not substantially (p>0.05) impacted. With the 30*105 combination, a higher dry matter yield (31.87 t/ha) was achieved. The treatment combination of 30*105 had the greatest CP content (12.37%). Treatment combinations have an impact on the properties of crude protein and dry matter in-sacco degradability. Thus, it is possible to conclude that, the treatment combination 30 cm*105 days has resulted in optimum yield and nutritive values of Desho grass under the current experiment around Adola. However, there is a need for further studies on different combinations of harvesting stage and plant spacing over years and locations to arrive at dependable conclusions

Evolution, identification, evaluation, and characterization of a stable salinity tolerant sugarcane variety CoG 7

From the fluff generated during 2005, after the preliminary experiments (2005–2007), a promising clone G2005047 has been identified. It showed moderate resistance to red rot (3.6 on a 9-scale scoring system), less susceptibility to shoot borer (13.25%) and internode borers (25.35%), and resistance to woolly aphid (0%). In the Advanced Yield Trials (2008–2011), it showed advantages over check for cane yield (CY) (11.79%), commercial cane sugar percent (CCSP) (0.35%), and sugar yield (SY) (20.33%). To ascertain its large-scale cultivation suitability, it has experimented under adaptive research trials (2012–2014) at farmers’ fields. It exhibited 18.04%, 1.27%, and 19.55% supremacy over the check Co 86032 for CY, CCSP, and SY respectively. The stability of G2005047 under salinity was ascertained through a multi-environment-based experiment (2015–2017). AMMI (Additive Main-effects and Multiplicative Interactions) and GGE (Genotype × Genotype-Environment interaction) biplots were utilized. ANOVA revealed that the genotypic variation exerted the most significant effect followed by genotype × environment interaction and environment. G2005047 had the highest mean values for yield and quality traits with minimal ASV (AMMI stability value) (2.38:CY; 0.57: CCSP; & 0.58:SY) indicating its good-yielding ability and stability. AMMI I, AMMI II, and GGE biplots confirmed the stability of G2005047. In the jaggery quality assessment trials (2018 and 2019), it yielded 37.1% increased jaggery over the check. Also, the clone G2005047, exhibited moderate resistance to red rot disease, less susceptibility to shoot borer (13.25%) and internode borer (25.35%), and resistance against sugarcane woolly aphid (SWA). Due to supremacy for yield, quality, better performance under salinized situations, and tolerance to disease and pests, the clone G2005047 was released as a variety CoG 7 in 2022.

Process Condition Optimization and Structural Feature Analysis of Humic Acid Extraction from Weathered Lignite.

In this study, response surface methodology (RSM) was adopted to investigate the optimization of process conditions for extracting humic acid (HA) from coal, aiming to enhance the yield of humic acid. Additionally, UV-vis spectroscopy, FTIR, XRD, TG-DTG, CP/MAS13CNMR, XPS, and molecular fluorescence were utilized to examine the properties of HAs. The extraction time significantly influenced the yield from Lishi weathered lignite, while the liquid-solid ratio had a significant impact on the yield from Wuhai weathered lignite. The interactive effect between factors did not have a significant effect on the yield. The optimal extraction conditions for Lishi humic acid (LSHA) were determined to be an extraction time of 4.4 h, NaOH concentration of 0.30 mol/L, and liquid-solid ratio of 21 mL/g, while those for Wuhai humic acid (WHHA) were 3.1 h, 0.21 mol/L, and 12 mL/g, respectively. Under these optimal conditions, the true yield values closely matched the predicted value obtained from the model optimization. Comparative analysis of the HAs revealed similarities in their chemical properties, including the degree of aromaticity, molecular weight, and distribution of functional groups. The aromaticity of WHHA was higher compared to that of LSHA. The higher hydrophilic-hydrophobic index of LSHA contributed to its relatively high biological activity compared to that of WHHA. Both humic acids belong to terrestrial humic acids. The results of the study provide a reference for further application of humic acid.

Impact of CO2 Enrichment on Growth, Yield and Fruit Quality of F1 Hybrid Strawberry Grown under Controlled Greenhouse Condition

Carbon dioxide enrichment inside a greenhouse is a sustainable approach to increasing crop production worldwide. Recently, the F1 hybrid strawberry became an alternative to runner-propagated cultivation as an innovative method to shorten the production period and increase strawberry production. This work aims to present CO2 enrichment as a sustainable tool that improves the yield in a controlled greenhouse and addresses the efficiency of three F1 hybrid strawberry varieties grown under Saudi Arabian conditions. A greenhouse experiment was conducted at the National Research and Development Center for Sustainable Agriculture (Estidamah), KSA, to study the impact of two CO2 levels (400 ppm (“ambient”) and 600 ppm (“enrichment”)) on the growth, photosynthesis traits, fruit yield and fruit quality of three F1 hybrid strawberry varieties grown under soilless culture conditions. The results show that CO2 enrichment significantly improved the phenotyping of strawberry growth traits at 60 days post-transplanting. The physiological response of the varieties to CO2 enrichment reveals a significant increase in the photosynthetic rate (129.7%) and intercellular CO2 (43.7%) in the leaves of strawberry exposed to CO2 enrichment rather than in ambient conditions, combined with a significant increase in the number of fruits per plant (27.5%) and total fruit yield (42.2%). A similar pattern was observed with varieties D and S in terms of fruit number, length and diameter. However, CO2 at 600 ppm promoted total soluble solid accumulation and vitamin C for the tested varieties. In contrast, CO2 enrichment significantly decreased nitrogen, phosphorus, potassium and magnesium accumulation in the leaves of the exposed plants in comparison to 400 ppm of CO2. These results suggest that increasing CO2 enrichment could contribute to an increase in strawberry yield and nutritional value and demonstrate that understanding the response of each variety to CO2 enrichment is important to support selecting suitable greenhouse strawberry varieties to improve crop yield.

Determination of cutting frequency for optimum herbage yield and nutritive value of Desho grass (Pennisetum glaucifolium) in western Oromia, Ethiopia

The experiment aimed to determine the optimal cutting frequency for desho grass to maximize dry matter yield and forage quality. Three cutting intervals (30, 45, and 60 days) were tested in a randomized complete block design with four replications. The agronomic parameters, dry matter yield, and chemical composition of the grass were collected and analyzed via standard procedures. The cutting frequency significantly affected the agronomic parameters and chemical composition but did not affect the DM yield. The tallest plants and most leaves were observed at 60-day intervals, while the tiller density was greater at 30 days. A relatively high DM yield (8.64 t/ha) was obtained by cutting desho grass at 30-day intervals, which was comparable to the results of the other treatments. The crude protein content decreased with increasing intervals, whereas the ADF content increased. Overall, cutting desho grass at 30–45 days optimized both the DM yield and nutritional value in the study areas.

Dynamics of automated body condition scores in grazing Holstein cows in a year-round calving system

This observational study aimed to characterize the seasonal dynamics of automated body condition scores (BCS) through the lactation of Holstein cows in a pasture-based system with year-round calvings. Examining the association between nadir BCS (nBCS; defined as the lowest daily BCS after calving) and peak milk yield within each calving period (calendar seasons equally divided in early and late) was a secondary objective of this research. Retrospective data included 2,164 lactations in 539 primiparous (PRI) and 1,625 multiparous (MLT) Holstein cows that calved from July 2021 to June 2023 in a commercial dairy farm located in Southern Chile. Individual BCS were generated in every milking by an automated BCS camera system. Body condition score at calving (BCSc), nBCS, and the change in BCS from calving to nadir (ΔBCS) were considered for the analysis. Peak milk yield (greatest daily milk yield) values were retrieved from on-farm software and lactations were categorized considering quartiles (Q1 = 25% lowest peak milk yield; Q4 = 25% greatest peak milk yield). Data were examined in PRI and MLT cows separately using multivariable linear models that considered calving period and peak milk yield as the main explanatory variables of interest, while BCSc and health status were included as covariables when appropriate. The differences in BCSc among calving periods were more evident in primiparous cows that had the lowest BCSc in early spring (3.13 ± 0.03) and the greatest BCSc in late fall (3.51 ± 0.03). In MLT cows, the lowest and greatest BCSc were recognized in late fall (3.07 ± 0.04) and early summer (3.23 ± 0.03), respectively. Only MLT cows had differences in nBCS and ΔBCS across calving periods: The lowest nBCS were identified in late spring (2.71 ± 0.02), early summer (2.71 ± 0.02), and in late summer (2.71 ± 0.02). The greatest losses in BCS also occurred in early summer (−0.41 ± 0.02) and in late spring (−0.41 ± 0.02). Time from calving to nBCS varied among calving periods and depended on parity category. Primiparous cows reached nBCS earlier in late summer (65 ± 8 DIM) and late spring (68 ± 7 DIM), while MLT had the shortest times to nBCS in late and early fall (67 ± 5 DIM; 68 ± 5 DIM). Greater values at milk peak were associated with lower nBCS only in multiparous cows during the late spring period. We concluded that the dynamics of BCS were associated with calving period in both parity groups. This data could help guide decisions on nutrition and breeding strategies in farms facing comparable conditions.