Scientia Agricola最新文献

Combining deep learning and X-ray imaging technology to assess tomato seed quality 结合深度学习和x射线成像技术评估番茄种子质量

IF 2.6 3区农林科学

Scientia Agricola Pub Date : 2023-08-14 DOI: 10.1590/1678-992x-2022-0121

H. Pessoa, M. Copati, A. M. Azevedo, F. Dariva, G. Almeida, C. N. Gomes

{"title":"Combining deep learning and X-ray imaging technology to assess tomato seed quality","authors":"H. Pessoa, M. Copati, A. M. Azevedo, F. Dariva, G. Almeida, C. N. Gomes","doi":"10.1590/1678-992x-2022-0121","DOIUrl":"https://doi.org/10.1590/1678-992x-2022-0121","url":null,"abstract":": Traditional germination tests which assess seed quality are costly and time-consuming, mainly when performed on a large scale. In this study, we assessed the efficiency of X-ray imaging analyses in predicting the physiological quality of tomato seeds. A convolutional neural network (CNN) called mask region convolutional neural network (MaskRCNN) was also tested for its precision in adequately classifying tomato seeds into four seed quality categories. For this purpose, X-ray images were taken of seeds of 49 tomato genotypes (46 Solanum pennellii introgression lines) from two different growing seasons. Four replicates of 25 seeds for each genotype were analyzed. These seeds were further assessed for germination and seedling vigor-related traits in two independent trials. Correlation analysis revealed significant linear association between germination and image-based variables. Most genotypes differed in terms of germination and seed development performance considering the two independent trials, except LA 4046, LA 4043, and LA4047, which showed similar behavior. Our findings point out that seeds with low opacity and percentage of damaged seed tissue and high values for living tissue opacity have greater physiological quality. In short, our work confirms the reliability of X-ray imaging and deep learning methodologies in predicting the physiological quality of tomato seeds.","PeriodicalId":49559,"journal":{"name":"Scientia Agricola","volume":"1 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67589927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Charting new sustainable agricultural innovation pathways in Brazil 绘制巴西可持续农业创新新路径

IF 2.6 3区农林科学

Scientia Agricola Pub Date : 2023-08-14 DOI: 10.1590/1678-992x-2023-0067

Geraldo Bueno Martha Júnior, M. A. Lopes

引用次数: 1

Initial performance and genetic diversity of coffee trees cultivated under contrasting altitude conditions 不同海拔条件下栽培咖啡树的初始性能和遗传多样性

IF 2.6 3区农林科学

Scientia Agricola Pub Date : 2023-08-14 DOI: 10.1590/1678-992x-2022-0163

J. F. D. B. Senra, Josimar Aleixo da Silva, Adésio Ferreira, Marlon Dutra Degli Esposti, M. A. Ferrão, Kamila Machado Fassarella, Uliana Ribeiro Silva, Idalina Sturião Milheiros, Fernanda Gomes da Silva

{"title":"Initial performance and genetic diversity of coffee trees cultivated under contrasting altitude conditions","authors":"J. F. D. B. Senra, Josimar Aleixo da Silva, Adésio Ferreira, Marlon Dutra Degli Esposti, M. A. Ferrão, Kamila Machado Fassarella, Uliana Ribeiro Silva, Idalina Sturião Milheiros, Fernanda Gomes da Silva","doi":"10.1590/1678-992x-2022-0163","DOIUrl":"https://doi.org/10.1590/1678-992x-2022-0163","url":null,"abstract":": This work evaluated the initial performance and genetic diversity of Coffea canephora genotypes cultivated in environments at contrasting altitudes. Fourteen morphophysiological traits and seven descriptors of the genus Coffea spp. of coffee trees cultivated at altitudes of 140 m and 700 m were evaluated. The design used was Federer’s augmented block in a 2 × 112 factorial scheme with six blocks. The first factor was the two environments, and the second was the 112 genotypes, with eight common treatments, being five conilon coffee clones and three arabica coffee cultivars. The data were analyzed by the method of REML/BLUP and genetic correlation method. Genetic diversity was evaluated by estimating the distance matrix, applying the Gower methodology followed by the clustering method by Tocher and UPGMA. The phenotypic means were higher in the environment at an altitude of 700 m, except for plant height, number of leaves, and canopy height (CH). Genotypic effects were significant for most traits except for leaf width, CH, unit leaf area, and total leaf area. A wide genetic diversity was verified, with distances varying from 0.037 to 0.593 for the pairs of genotypes 26 × 93 and T7 × 76, respectively. Most of the traits studied showed high genotypic correlation with the environment and expressive genetic correlation between the evaluated traits thereby demonstrating the possibility of indirect selection. There is an adaptation of conilon coffee genotypes to high altitudes and the possibility of developing a specific cultivar for the southern state of Espírito Santo.","PeriodicalId":49559,"journal":{"name":"Scientia Agricola","volume":"1 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67590517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AgroReg: main regression models in agricultural sciences implemented as an R Package agroregg:农业科学中的主要回归模型，作为R包实现

IF 2.6 3区农林科学

Scientia Agricola Pub Date : 2023-07-07 DOI: 10.1590/1678-992x-2022-0041

G. D. Shimizu, L. Gonçalves

{"title":"AgroReg: main regression models in agricultural sciences implemented as an R Package","authors":"G. D. Shimizu, L. Gonçalves","doi":"10.1590/1678-992x-2022-0041","DOIUrl":"https://doi.org/10.1590/1678-992x-2022-0041","url":null,"abstract":": Regression analysis is highly relevant to agricultural sciences since many of the factors studied are quantitative. Researchers have generally used polynomial models to explain their experimental results, mainly because much of the existing software perform this analysis and a lack of knowledge of other models. On the other hand, many of the natural phenomena do not present such behavior; nevertheless, the use of non-linear models is costly and requires advanced knowledge of language programming such as R. Thus, this work presents several regression models found in scientific studies, implementing them in the form of an R package called AgroReg. The package comprises 44 analysis functions with 66 regression models such as polynomial, non-parametric (loess), segmented, logistic, exponential, and logarithmic, among others. The functions provide the coefficient of determination (R 2 ), model coefficients and the respective p -values from the t -test, root mean square error (RMSE), Akaike’s information criterion (AIC), Bayesian information criterion (BIC), maximum and minimum predicted values, and the regression plot. Furthermore, other measures of model quality and graphical analysis of residuals are also included. The package can be downloaded from the CRAN repository using the command: install.packages (“ AgroReg ”). AgroReg is a promising analysis tool in agricultural research on account of its user-friendly and straightforward functions that allow for fast and efficient data processing with greater reliability and relevant information.","PeriodicalId":49559,"journal":{"name":"Scientia Agricola","volume":"1 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67589284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Hydraulic conductivity and native embolism of Geneva® Series apple rootstocks measured by the XYL’EM-Plus® embolism meter 通过XYL 'EM-Plus®栓塞仪测量日内瓦®系列苹果砧木的水力导电性和原生栓塞

IF 2.6 3区农林科学

Scientia Agricola Pub Date : 2023-07-07 DOI: 10.1590/1678-992x-2022-0224

Tâmara Foster Acosta, P. Mello-Farias, F. Herter, Carlos Danilo Cabrera Bologna, L. Marques, Camila Schwartz Dias

引用次数: 0

Deeper exploration of inflammatory cell populations in milk to monitor udder health in dairy cows 深入探索牛奶中的炎症细胞群以监测奶牛的乳房健康

IF 2.6 3区农林科学

Scientia Agricola Pub Date : 2023-07-07 DOI: 10.1590/1678-992x-2022-0086

Carolina Menezes Suassuna de Souza, M. Blagitz, F. Souza, Camila Freitas Batista, D. M. Lima, A. J. Alves, M. Heinemann, E. Sanchez, Hugo Frias Torres, A. C. C. Fernandes, A. Libera

{"title":"Deeper exploration of inflammatory cell populations in milk to monitor udder health in dairy cows","authors":"Carolina Menezes Suassuna de Souza, M. Blagitz, F. Souza, Camila Freitas Batista, D. M. Lima, A. J. Alves, M. Heinemann, E. Sanchez, Hugo Frias Torres, A. C. C. Fernandes, A. Libera","doi":"10.1590/1678-992x-2022-0086","DOIUrl":"https://doi.org/10.1590/1678-992x-2022-0086","url":null,"abstract":": The present study explored the predictive values of milk leukocyte differentials (MLD) as a basis for improving the diagnosis of intramammary infections (IMIs) and subclinical mastitis. Quarter milk samples were collected for bacteriological analysis, quarter somatic cell count (qSCC), and MLD. The MLD were assessed using the cytospin technique, direct microscopic smears, and flow cytometry. The predictive values of each single leukocyte population and useful potential indices that could better reflect immune complexity were also calculated. Changes in the percentage of any leukocyte alone failed to substantially improve the predictive value of qSCC in diagnosing IMIs. Although certain parameters increased the area under the receiver operating characteristic curve (ROC curve) as a result of increased specificity values, a slight reduction in sensitivity was observed. The so-called CD8 complex was a unique parameter which improved both the sensitivity (78.79 %) and the specificity (80.77 %) in IMI diagnosis, resulting in the highest area under the ROC curve (0.87). To diagnose subclinical mastitis, the percentage of macrophages and the sum of the percentage PMNLs and T CD8 + cells divided by the percentage of macrophages showed the highest predictive values (sensitivity = 79.63, specificity = 73.68, and area under the ROC curve = 0.83) in the differentiation of the inflammatory condition status of cows. In conclusion, this study provides further insights into using T CD8 + lymphocytes in diagnosing bovine IMIs, combined with PMNLs and macrophages. The antidromic trend of macrophages vs . PMNLs and T CD8 + lymphocytes due to the increasing qSCCs was crucial to differentiating quarters under both inflammatory and non-inflammatory conditions.","PeriodicalId":49559,"journal":{"name":"Scientia Agricola","volume":"1 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67589974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimization of density and durability of pellets using the response surface methodology in ultrasonic vibration-assisted pelleting of corn stover 利用响应面法优化超声振动辅助玉米秸秆制粒的密度和耐久性

IF 2.6 3区农林科学

Scientia Agricola Pub Date : 2023-07-07 DOI: 10.1590/1678-992x-2022-0243

Wentao Li, Chenxi Li, Bo Zhang, Guixia Zhou, Dan Liu

{"title":"Optimization of density and durability of pellets using the response surface methodology in ultrasonic vibration-assisted pelleting of corn stover","authors":"Wentao Li, Chenxi Li, Bo Zhang, Guixia Zhou, Dan Liu","doi":"10.1590/1678-992x-2022-0243","DOIUrl":"https://doi.org/10.1590/1678-992x-2022-0243","url":null,"abstract":": Top-quality pellets can significantly increase density and durability of agricultural residues, reducing logistic costs. However, these pellets depend on numerous parameters, including feedstock properties and production conditions. To ensure high-quality pellets, a single-factor experiment and the response surface methodology were used to investigate the effects of particle size, moisture content, molding pressure, pelleting time, ultrasonic power, and interaction effects between variables on density and durability of pellets for ultrasonic vibration-assisted pelleting of corn stover. The response surface models between variables and response were established. The results showed that all variables affect the density and durability of pellets. An optimal condition for density and durability was obtained, and a further experiment was conducted to validate the values. The results suggested that desirability (0.999) under optimal conditions confirmed the validation of models. The optimal combination of process parameters included particle size of 1.5 mm, moisture content of 10 %, molding pressure of 379 kPa, pelleting time of 80 s, ultrasonic power of 250 W, with values of 1,381.14 kg m –3 and 97.58 % for density and durability of pellets, respectively.","PeriodicalId":49559,"journal":{"name":"Scientia Agricola","volume":"1 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67590834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Phenotypic characteristics and genetic diversity of new broccoli (Brassica oleracea var. italica Plenck) varieties in China 中国花菜新品种的表型特征和遗传多样性

IF 2.6 3区农林科学

Scientia Agricola Pub Date : 2023-07-07 DOI: 10.1590/1678-992x-2022-0223

Yiying Zhang, Lihua Ren, Ruixi Han, Aiai Li, Yu Wang, Ting Lin, Yu Zhang, Hong-ning Zhao, Hairong Chen

{"title":"Phenotypic characteristics and genetic diversity of new broccoli (Brassica oleracea var. italica Plenck) varieties in China","authors":"Yiying Zhang, Lihua Ren, Ruixi Han, Aiai Li, Yu Wang, Ting Lin, Yu Zhang, Hong-ning Zhao, Hairong Chen","doi":"10.1590/1678-992x-2022-0223","DOIUrl":"https://doi.org/10.1590/1678-992x-2022-0223","url":null,"abstract":": Due to its high nutritional value, broccoli ( Brassica oleracea var. italica Plenck) is one of the most popular vegetables worldwide. This study assessed 36 phenotypic characteristics of 111 broccoli varieties to understand the phenotypic diversity of new broccoli varieties and improve their breeding speed with advantages and characteristics in China, including 108 new varieties and three varieties of common knowledge. The genetic diversity, the principal component, and the cluster of phenotypic characteristics of broccoli varieties were further investigated. The results showed that the coefficients of variation of 36 characteristics ranged between 11.18 % and 94.99 %, with their diversity index between 0.26 and 1.82. The 111 broccoli varieties were further classified into eight groups, primarily attributed to the differences in phenotypic characteristics, including curd weight, main stem thickness, plant development degree, plant height, and anthocyanin coloration. The cumulative contribution rate of the first five principal components reached 81.186 %, corresponding to 12 representative phenotypic traits. The analysis indicated that the phenotypic characteristics of broccoli were rich in diversity, especially for several characteristics appreciated by the market, such as weight, curd firmness, and anthocyanin coloration. This study revealed the basic information on the genetic diversity of new broccoli varieties in China from 2017 to 2019 and provided potential breeding strategies for broccoli to meet diverse market demands.","PeriodicalId":49559,"journal":{"name":"Scientia Agricola","volume":"1 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67591011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pengaruh Bentuk Pakan Terhadap Laju Pertumbuhan Bobot Badan Ayam Broiler 饲料形式对家禽布罗勒体重增长速度的影响

IF 2.6 3区农林科学

Scientia Agricola Pub Date : 2023-07-01 DOI: 10.35724/ag.v13i1.5346

I. Praptiwi, Wahida Wahida

引用次数: 0

Rancang Bangun Mesin Pengayak Pati Sagu dengan Penggerak Motor Listrik untuk Meningkatkan Kualitas Mutu Tepung Sagu pada Industri Pengolahan Tepung Sagu “Dwitrap” 设计一种用电动马达驱动的淀粉筛机，以提高淀粉的质量

IF 2.6 3区农林科学

Scientia Agricola Pub Date : 2023-07-01 DOI: 10.35724/ag.v13i1.5247

Yus Witdarko, Yosefina Mangera, Richardus Sinong, J. Jamaludin

{"title":"Rancang Bangun Mesin Pengayak Pati Sagu dengan Penggerak Motor Listrik untuk Meningkatkan Kualitas Mutu Tepung Sagu pada Industri Pengolahan Tepung Sagu “Dwitrap”","authors":"Yus Witdarko, Yosefina Mangera, Richardus Sinong, J. Jamaludin","doi":"10.35724/ag.v13i1.5247","DOIUrl":"https://doi.org/10.35724/ag.v13i1.5247","url":null,"abstract":"Tepung sagu yang diproduksi oleh industri pengolahan tepung sagu”Dwitrap” belum memenuhi SNI untuk standar kehalusan yakni lolos ayakan 100 mesh minimal 95% sesuai dengan SNI 01-3729-2008. Tujuan penelitian adalah menghasilkan mesin pengayak pati sagu dengan penggerak motor listrik untuk meningkatkan kualitas mutu tepung sagu pada industri pengolahan tepung sagu “Dwitrap”. Penelitian ini menggunakan metode eksperimen dengan membuat dan melakukan uji coba alat pengayak pati sagu. Bahan pati yang digunakan yaitu pati sagu Dwitrap. Perhitungan yang dilakukan adalah perhitungan kecepatan pulley dan kapasitas alat sedangkan pengujian pengayakan dilakukan dengan mengayak pati sagu sebanyak 10 kg yang diulang sebanyak 3 kali. Ukuran ayakan yang digunakan adalah 100 mesh. Berdasarkan hasil pengayakan akan diperoleh pati sagu yang lolos dan tidak lolos ayakan. Selain itu, dilakukan juga perhitungan kadar air pati sagu sebelum pengayakan. Penelitian ini menghasilkan suatu alat pengayak pati sagu dengan penggerak motor listrik 1 hp dengan spesifikasi panjang 210 cm, lebar 74 cm dan tinggi 94 cm. Alat ini terdiri dari 4 komponen utama yaitu rangka, corong pengeluaran, pengayakan dan motor listrik. Uji kerja alat dilakukan dengan perhitungan dan analisis. Sampel yang digunakan adalah 10 kg pati sagu dengan waktu yang digunakan 1 menit, hasil penelitian menunjukan bahwa selama pengayakan, pati sagu yang lolos ayakan sebanyak 505,64 kg/jam dengan kadar air 11,16 %.","PeriodicalId":49559,"journal":{"name":"Scientia Agricola","volume":"117 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79435193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0