Tailored Weed Management in Mango Farm: Insights from Euphorbia heterophylla and Mimosa pudica Spatial Distribution
Keywords:
Geostatistical analysis, Site-specific, Soil propertiesAbstract
Understanding the spatial variation in soil properties and the distribution of weeds is crucial for implementing sustainable weed management practices. This study aimed to explore the spatial distribution of Mimosa pudica and Euphorbia heterophylla, examining the impact of soil properties on their spatial distribution and density. The emerged weeds were counted on a regular grid (20x20m) with 60 observation points covering a study area of 2.49 ha. The physico-chemical properties of soil such as pH, temperature, moisture, total carbon, electrical conductivity (EC), total nitrogen (TN), available phosphorus, exchangeable potassium, exchangeable magnesium (Ex-Mg), exchangeable calcium (Ex-Ca) determined. The density of E. heterophylla had a positive correlation with TN (r=0.339), Ex-Mg (r=0.367), and Ex-Ca (r=0.438). By contrast, M. pudica exhibited a negative correlation with EC (r=-0.449). The geostatistical analysis uncovered diverse distribution patterns for E. heterophylla, M. pudica, and soil nutrients across the study. The analysis revealed the Gaussian model is suitable for E. heterophylla and TN, the spherical model for M. pudica, EC, and Ex-Mg, and the exponential model for Ex-Ca. The creation of individual weed distribution maps can serve as a valuable tool for implementing localized mechanical and chemical control methods, enhancing the efficiency, effectiveness, and cost-effectiveness of weed management. The knowledge is essential for making well-informed decisions on the site-specific management of E. heterophylla and M. pudica in Harumanis mango cultivation.
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Abd Razak, N. & Mohammad, M. 2022. Prevalence of Blastocystis sp. in cattle, goat and sheep reared by different farm management systems in Pahang, Malaysia. Malaysian Applied Biology, 51(3): 47-55. DOI: https://doi.org/10.55230/mabjournal.v51i3.2165
Abdullah, F.A., Jamal, A. & Noor, M.S.Z. 2020. The adoption of innovation in ruminant farming for food security in Malaysia: A narrative literature review. Journal of Critical Reviews, 7(6): 738-743. DOI: https://doi.org/10.31838/jcr.07.06.130
Abubakar, F., Kari, A., Ismail, Z., Usman, T.H. & Baba, A.R. 2015. Preliminary study of nematode resistance to anthelmintic drugs in two goat farms in Terengganu. Jurnal Teknologi, 77(24): 13-16. DOI: https://doi.org/10.11113/jt.v77.6690
Akbar, M.A., Javed, K., Faraz, A. & Waheed, A. 2022. Principal component analysis of morphometric traits explain the morphological structure of Thalli sheep. Pakistan Journal of Zoology, 54: 207-212. DOI: https://doi.org/10.17582/journal.pjz/20200220060257
Angeles-Hernandez, J.C., Castro-Espinoza, F.A., Peláez-Acero, A., Salinas-Martinez, J.A., Chay-Canul, A.J. & Vargas-Bello-Pérez, E. 2022. Estimation of milk yield based on udder measures of Pelibuey sheep using artificial neural networks. Scientific Reports, 12(1): 9009. DOI: https://doi.org/10.1038/s41598-022-12868-0
Arbodela Marin, Y., Gonzalez Gaviria, D.A., Lopera Mesa, L.K., Lalinde Acevedo, P.A., Mejia, A.F., Cardona Maya, W.D. & Cardona Cadavid, H. 2023. Semen quality in sheep. Veterinarska stanica, 54(1): 39-45. DOI: https://doi.org/10.46419/vs.54.1.1
Arcos-Álvarez, D., Canul-Solís, J., García-Herrera, R., Sarmiento-Franco, L., Piñeiro-Vazquez, Á., Casanova-Lugo, F., Luis, O.T., Gonzalez-Ronquillo, M. & Chay-Canul, A. 2020. Udder measurements and their relationship with milk yield in Pelibuey ewes. Animals, 10(3): 518. DOI: https://doi.org/10.3390/ani10030518
Atigui, M., Brahmi, M., Hammadi, I., Marnet, P.G. & Hammadi, M. 2021. Machine milkability of dromedary camels: correlation between udder morphology and milk flow traits. Animals, 11(7): 2014. DOI: https://doi.org/10.3390/ani11072014
Ayadi, M., Such, X., Ezzehizi, N., Zouari, M., Najar, T., M'Rad, M.B. & Casals, R. 2011. Relationship between mammary morphology traits and milk yield of Sicilo-Sarde dairy sheep in Tunisia. Small Ruminant Research, 96(1): 41-45. DOI: https://doi.org/10.1016/j.smallrumres.2010.10.013
Ayele, A., Solomon, G., Asfaw, B., Shenkute, G., Shambel, B., Tefera, M., Tesfaye, Z. & Yeshimebet, C. 2015. Growth performance of Dorper and its F1 crossbreds at Debre-Birhan Agricultural Research Center, Ethiopia. Developing Country Studies, 5(13): 90-98.
Azizan, F.A., Roslan, N., Ruslan, R., Aznan, A.A. & Yusoff, A.Z.M. 2019. Soil NPK variability mapping for Harumanis mango grown in greenhouse at Perlis, Malaysia. International Journal of Advanced Technology, 9: 495-501. DOI: https://doi.org/10.18517/ijaseit.9.2.2989
Babale, D.M., Abaya, U.H. & Gworgwor, Z. 2018. Relationship between live weights, linear body measurements and cost prices of small ruminants sold in and around Mubi environs, Adamawa State, Nigeria. Journal of Dairy, Veterinary & Animal Research, 7(6): 273-277. DOI: https://doi.org/10.15406/jdvar.2018.07.00226
Baharuddin, N.S., Roslan, M.A.M., Bawzer, M.A.M., Mohamad Azzeme, A., Rahman, Z.A., Khayat, M.E. & Sobri, Z.M. 2021. Response surface optimization of extraction conditions and in vitro antioxidant and antidiabetic evaluation of an under-valued medicinal weed, Mimosa pudica. Plants, 10(8): 1692. DOI: https://doi.org/10.3390/plants10081692
Bakan, N. & Demirhan, S.A. 2022. The effects of udder types on milk production and quality in sheep. Kadirli Uygulamalı Bilimler Fakültesi Dergisi, 2(1): 133-142.
Battles, B.A. 2020. Factors influencing weed spatial distribution.
Bianchini, A., De Moraes, P.V.D., Jakubski, J.D., Rankrape, C.B., Gadyel, E., Schuster, M.C. & Rossi, P. 2019. Allelopathy of cover crops on the germination and initial development of Euphorbia heterophylla. Journal of Agriculture Science, 11: 74-82. DOI: https://doi.org/10.5539/jas.v11n14p74
Cambardella, C.A., Moorman, T.B., Novak, J.M., Parkin, T.B., Karlen, D.L., Turco, R.F. & Konopka, A.E. 1994. Field‐scale variability of soil properties in central Iowa soils. Soil Science Society of America Journal, 58(5): 1501-1511. DOI: https://doi.org/10.2136/sssaj1994.03615995005800050033x
Carlin, H.L.S. 2010. Estimação dos parâmetros dos semivariogramas utilizando algoritmos genéticos. Monografia, Universidade Estadual do Oeste do Paraná, Marechal Cândido Rondon, 57p.
Carlson, H.L. & Hill, J.E. 1986. Wild oat (Avena fatua) competition with spring wheat: effect of nitrogen fertilization. Weed Science, 34: 29-33. DOI: https://doi.org/10.1017/S0043174500026394
Carneiro, H., Louvandini, H., Paiva, S.R., Macedo, F., Mernies, B. & McManus, C. 2010. Morphological characterization of sheep breeds in Brazil, Uruguay, and Colombia. Small Ruminant Research, 94(1-3): 58-65. DOI: https://doi.org/10.1016/j.smallrumres.2010.07.001
Castaldi, F., Pelosi, F., Pascucci, S. & Casa, R. 2017. Assessing the potential of images from unmanned aerial vehicles (UAV) to support herbicide patch spraying in maize. Precision Agriculture, 18: 76-94. DOI: https://doi.org/10.1007/s11119-016-9468-3
Cho, H., Jeon, S., Lee, M., Kang, K., Kang, H., Park, E., Kim, M., Hong, S. & Seo, S. 2020. Analysis of the factors influencing body weight variation in Hanwoo steers using an automated weighing system. Animals, 10(8): 1270. DOI: https://doi.org/10.3390/ani10081270
Çilek, S. & Petkova, M. 2016. Impact of age and gender on head measurements of Malya sheep. Bulgarian Journal of Agricultural Science, 22(1): 106-109.
Costa, N.V., Rodrigues-Costa, A.C.P., Coelho-Pergo, É.M., Ferreira, S.D. & Barbosa, J.A. 2018. Métodos de controle de plantas daninhas em sistemas orgânicos: Breve revisão. Revista Brasileira de Herbicida, 17: 25-44. DOI: https://doi.org/10.7824/rbh.v17i1.522
Costa, R.S., Henriques, L.S., do Valle, F.R.F., Júnior, J.A.M., Alves, É.N., Henry, F.C. & Júnior, A.C.S. 2015. Meat quality of Santa Inês and F1 Santa Inês X Dorper lambs. Revista de Ciências Agrárias, 38(3): 338-345.
Cousens, R. & Croft, A.M. 2000. Weed populations and pathogens. Weed Research, 40(1): 63-82. DOI: https://doi.org/10.1046/j.1365-3180.2000.00165.x
Craze, B. 1995. Soil survey standard test method available phosphorus: Bray No 2 extract. Available Phosphorus: Bray No 2 Extract, 2: 2-5.
Curtis, A.K., Scharf, B., Eichen, P.A. & Spiers, D.E. 2017. Relationships between ambient conditions, thermal status, and feed intake of cattle during summer heat stress with access to shade. Journal of Thermal Biology, 63: 104-111. DOI: https://doi.org/10.1016/j.jtherbio.2016.11.015
Dasrul, D., Wahyuni, S., Sugito, S., Hamzah, A., Zaini, Z., Haris, A. & Gholib, G. 2020. Correlation between testosterone concentrations with scrotal circumference, and semen characteristics in Aceh bulls. E3S Web of Conferences, 151(3): 01015. DOI: https://doi.org/10.1051/e3sconf/202015101015
De Castro, A.I., Jurado-Expósito, M., Peña-Barragán, J.M. & López-Granados, F. 2012. Airborne multi-spectral imagery for mapping cruciferous weeds in cereal and legume crops. Precision Agriculture, 13(3): 302-321. DOI: https://doi.org/10.1007/s11119-011-9247-0
Department of Veterinary Services. 2023. Livestock Statistics 2022/2023.
Dey, A.R., Begum, N., Alim, M.A., Malakar, S., Islam, M.T. & Alam, M.Z. 2020. Gastro-intestinal nematodes in goats in Bangladesh: a large-scale epidemiological study on the prevalence and risk factors. Parasite Epidemiology and Control, 9: e00146. DOI: https://doi.org/10.1016/j.parepi.2020.e00146
Environmental Systems Research Institute (ESRI) 2021a. Comparing models. ArcGIS ArcMap 10.8. Redlands, CA. Available at https://desktop.arcgis.com/en/arcmap/latest/extensions/geostatistical-analyst/comparing-models.htm
Environmental Systems Research Institute (ESRI) 2021b. Cross validation ArcGIS ArcMap 10.8. Redlands, CA. Available at https://desktop.arcgis.com/en/arcmap/latest/tools/geostatistical-analyst-toolbox/cross-validation.htm
Environmental Systems Research Institute (ESRI) 2021c. Histograms. ArcGIS ArcMap 10.8. Redlands, CA. Available at https://desktop.arcgis.com/en/arcmap/latest/extensions/geostatistical-analyst/histograms.htm
Faith, E.A., Sabuwa, A.B.M. & Owoeye, A.O. 2019. Studies on body weight, condition and scrotal-testicular measurements of rams in Doma and Lafia metropolis. EC Veterinary Science, 4(3): 157-160.
Fourie, P.J., Neser, F.W.C., Olivier, J.J. & Van der Westhuizen, C. 2002. Relationship between production performance, visual appraisal and body measurements of young Dorper rams. South African Journal of Animal Science, 32(4): 256-262.
Gomaa, N.H. 2012. Composition and diversity of weed communities in Al-Jouf province, northern Saudi Arabia. Saudi Journal of Biological Sciences, 19(3): 369-376. DOI: https://doi.org/10.1016/j.sjbs.2012.05.002
Groenendael, J.M. 1988. Patchy distribution of weeds and some implications for modelling population dynamics: A short literature review. Weed Research, 28: 437-441. DOI: https://doi.org/10.1111/j.1365-3180.1988.tb00825.x
Haque, M.I., Sarder, M.J.U., Islam, M.A., Khaton, R., Islam, M.H. & Hashem, M.A. 2020. Morphometric characterization of Barind sheep of Bangladesh. Journal of Earth and Environmental Science, 4(192): 2577-0640.
Ibrahim, N.S., Noor, N.N.M. & Nasruddin, N.N.A.B.M. 2022. Evaluation of growth parameters and body condition score on weaning stages of Saanen goats. Journal of Advanced Veterinary and Animal Research, 9(3): 527. DOI: https://doi.org/10.5455/javar.2022.i622
Iniguez, L., Hilali, M., Thomas, D.L. & Jesry, G. 2009. Udder measurements and milk production in two Awassi sheep genotypes and their crosses. Journal of Dairy Science, 92(9): 4613-4620. DOI: https://doi.org/10.3168/jds.2008-1950
Islam, S., Bhuiyan, A.F.H., Ersaduzzaman, M.H., Lee, S.H. & Bhuiyan, M.S.A. 2018. Morphometric features, production and reproduction potentials of indigenous sheep genetic resources of Bangladesh. Journal of Animal Breeding and Genetics, 2(2): 001-008. DOI: https://doi.org/10.12972/jabng.20180026
Kavhiza, N. 2020. Weed mapping technologies in discerning and managing weed infestation levels of farming systems. Research on Crops, 21(1): 93-98. DOI: https://doi.org/10.31830/2348-7542.2020.015
Khandoker, M.A.M.Y., Syafiee, M. & Rahman, M.S.R. 2016. Morphometric characterisation of Katjang goat of Malaysia. Bangladesh Journal of Animal Science, 45(3): 17-24. DOI: https://doi.org/10.3329/bjas.v45i3.31035
Krahmer, H., Andreasen, C., Economou-Antonaka, G., Holec, J., Kalivas, D. & Kolarova, M. 2020. Weed surveys and weed mapping in Europe: State of the art and future tasks. Crop Protection, 129: 105010. DOI: https://doi.org/10.1016/j.cropro.2019.105010
Kurniawati, E. 2008. Perbedaan komposisi komunitas gulma pada area perkebunan teh rakyat dengan kanopi terbuka dan kanopitertutup di daerah pagilaran batang. IKIP PGRI Semarang, Semarang.
Latif, M.A., Ahmed, J.U., Bhuiyan, M.M.U. & Shamsuddin, M. 2009. Relationship between scrotal circumference and semen parameters in crossbred bulls. Bangladesh Veterinarian, 26(2): 61-67. DOI: https://doi.org/10.3329/bvet.v26i2.4952
Lavkulich, L.M. 1981. Methods manual, pedology laboratory. Department of Soil Science, University of British Columbia, Vancouver, British Columbia, Canada.
Lewis Baida, B.E., Swinbourne, A.M., Barwick, J., Leu, S.T. & van Wettere, W.H. 2021. Technologies for the automated collection of heat stress data in sheep. Animal Biotelemetry, 9(1): 4. DOI: https://doi.org/10.1186/s40317-020-00225-9
Makovicky, P., Nagy, M. & Makovický, P. 2013. Comparison of external udder measurements of the sheep breeds Improved Valachian, Tsigai, Lacaune and their crosses. Chilean Journal of Agricultural Research, 73(4): 366-371. DOI: https://doi.org/10.4067/S0718-58392013000400006
Mali, S.S., Naik, S.K. & Bhatt, B.P. 2016. Spatial variability in soil properties of mango orchards in eastern plateau and hill region of India. Vegetos, 29(3): 74-79. DOI: https://doi.org/10.5958/2229-4473.2016.00070.7
Mannuthy, T. 2017. Behavioral responses to livestock adaptation to heat stress challenges. Asian Journal of Animal Science, 11(1): 1-13. DOI: https://doi.org/10.3923/ajas.2017.1.13
Margatho, G., Quintas, H., Rodríguez-Estévez, V. & Simões, J. 2020. Udder morphometry and its relationship with intramammary infections and somatic cell count in Serrana goats. Animals, 10(9): 1534. DOI: https://doi.org/10.3390/ani10091534
Markos, D., Masho, W., Baye, M. & Bayou, E. 2023. Morphometric traits and stepwise regression of indigenous sheep in the southwestern region, Ethiopia. Journal of Agriculture and Food Research, 14(9): 100666. DOI: https://doi.org/10.1016/j.jafr.2023.100666
Marković, B., Dovč, P., Marković, M., Radonjić, D., Adakalić, M. & Simčič, M. 2019. Differentiation of some Pramenka sheep breeds based on morphometric characteristics. Archives Animal Breeding, 62(2): 393-402. DOI: https://doi.org/10.5194/aab-62-393-2019
Metcalfe, H., Milne, A.E., Webster, R., Lark, R.M., Murdoch, A.J. & Storkey, J. 2015. Designing a sampling scheme to reveal correlations between weeds and soil properties at multiple spatial scales. Weed Research, 56: 1-13. DOI: https://doi.org/10.1111/wre.12184
MMD (Malaysian Meteorological Department) 2022. Weather data: Station Chuping, Perlis 1990-2021. Putrajaya: Malaysian Meteorological Department.
Monserrat, J.E., Francisca, L.G., Francisco, M.J.B. & Jorge, T.S. 2021. Monitoring the spatial variability of knapweed (Centaurea diluta Aiton) in wheat crops using geostatistics and UAV imagery: Probability maps for risk assessment in site-specific control. Agronomy, 11(5): 880. DOI: https://doi.org/10.3390/agronomy11050880
Moulla, F., El-Bouyahiaoui, R., Nazih, R., Abdelaziz, N., Zerrouki, N. & Iguer-Ouada, M. 2018. Characterization of the onset of puberty in Tazegzawt lambs, an endangered Algerian sheep: Body weight, thoracic perimeter, testicular growth, and seminal parameters. Veterinary World, 11(7): 889-894. DOI: https://doi.org/10.14202/vetworld.2018.889-894
Naik, S., Goud, V.V., Rout, P.K., Jacobson, K. & Dalai, A.K. 2010. Characterization of Canadian biomass for alternative renewable biofuel. Renewable Energy, 35(8): 1624-1631. DOI: https://doi.org/10.1016/j.renene.2009.08.033
Nordmeyer, H. & Dunker, M. 1999. Variable weed densities and soil properties in a weed mapping concept for patchy weed control. In: Proceedings Second European Conference on Precision Agriculture, Odense Congress Centre, Denmark, 11-15 July. Sheffield Academic Press, 453-462.
Norhayati, Z., Zahari, M.W., Nooraisyah, S., Shanmugavelu, S. & Rahman, A.A. 2018. Carcass characteristics of male dorper sheep weaned at different ages. J Vet Malaysia, 30: 20-22. DOI: https://doi.org/10.71118/586631
Novakoski, A.D.S., Coelho, É.M.P., Ravagnani, G.T., Costa, A.C.P.R.D., Rocha, S.A., Zucareli, V. & Lopes, A.D. 2020. Allelopathic potential of plant aqueous mixtures on Euphorbia heterophylla. Agriculture, 10(10): 449. DOI: https://doi.org/10.3390/agriculture10100449
Obroślak, R. & Dorozhynskyy, O. 2017. Selection of a semivariogram model in the study of spatial distribution of soil moisture. Journal of Water and Land Development, 35(1): 161-166. DOI: https://doi.org/10.1515/jwld-2017-0080
Oliver, M.A. & Webster, R. 2014. A tutorial guide to geostatistics: Computing and modelling variograms and kriging. Catena, 113: 56-69. DOI: https://doi.org/10.1016/j.catena.2013.09.006
Olorunmaiye, P., Taiwo, S., Alamu, O., Egberongbe, K. & Adeoye, P. 2013. Assessment of weed species composition and species diversity in some fruit orchards. Albanian Journal of Agricultural Sciences, 12(2): 215.
Ouchene-Khelifi, N.A. & Ouchene, N. 2021. Relationships between age, body measurements, and testicular measurements in Arabia bucks in Algeria. Tropical Animal Health and Production, 53: 1-9. DOI: https://doi.org/10.1007/s11250-020-02500-6
Panday, D., Maharjan, B., Chalise, D., Kumar Shrestha, R. & Twanabasu, B. 2018. Digital soil mapping in the Bara district of Nepal using kriging tool in ArcGIS. PLoS ONE, 13(10): 1-20. DOI: https://doi.org/10.1371/journal.pone.0206350
Partel, V., Kakarla, S.C. & Ampatzidis, Y. 2019. Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence. Computers and Electronics in Agriculture, 157: 339-350. DOI: https://doi.org/10.1016/j.compag.2018.12.048
Perumal, P. 2014. Scrotal circumference and its relationship with testicular growth, age, and body weight in Tho Tho (Bos indicus) bulls. International Scholarly Research Notices, 2014(1): 249537. DOI: https://doi.org/10.1155/2014/249537
Pogodaev, V., Parzhanov, Z., Azhimetov, N., Sergeeva, N., Akhynova, U., Tenlibayeva, A. & Mustiyar, T. 2023. The Dorper breed as a stage in the sustainable development of the agroindustry. Brazilian Journal of Biology, 83(25): e278882. DOI: https://doi.org/10.1590/1519-6984.278882
Prathibha, K.R., Tandle, M.K., Usturge, S.M., Kartikesh, S.M. & Selvaraju, S. 2019. Correlation of body weight, scrotal circumference and sexual behaviour with semen quality in Nari Suwarna Rams. The Indian Journal of Animal Reproduction, 40(2): 19-23.
Putra, W.P.B., Alwi, Y. & Suryani, H. 2021. Morphometrics characterization of Thin-Tail sheep in lowland and highland areas. Tropical Animal Science Journal, 44(4): 386-398. DOI: https://doi.org/10.5398/tasj.2021.44.4.386
Rahim, N.H. 2020. Characterizing weed population at two growth stages of Harumanis mango in Farm Unit Arau, Perlis [Unpublished bachelor's thesis]. University Technology Mara Perlis.
Robertson, G.P. & Gross, K.L. 1994. Assessing the heterogeneity of belowground resources: Quantifying pattern and scale. In: Exploitation of Environmental Heterogeneity by Plants: Ecophysiological Processes above-and Belowground. Academic Press, San Diego, CA, USA, pp. 237-253. DOI: https://doi.org/10.1016/B978-0-12-155070-7.50013-5
Saleh, A.A., Easa, A.A., El-Hedainy, D.K. & Rashad, A.M. 2023. Prediction of some milk production traits using udder and teat measurements with a spotlight on their genetic background in Friesian cows. Scientific Reports, 13(1): 16193. DOI: https://doi.org/10.1038/s41598-023-43398-y
Sani, M.A., Nor, M., Jaafar, B., Abbas, H., Bahagia, M. & Ghaffar, A. 2018. Morphological characterisation of Harumanis mango (Mangifera indica Linn.) in Malaysia. International Journal of Environmental & Agriculture Research, 4(1): 35-42.
Santos, H.P., Aiura, A.L.D.O., Gonçalves, G.A.M. & Aiura, F.S. 2020. Phenotypic characterization and weight prediction of crossbred Dorper× Santa Inês ewes. Revista Brasileira de Saúde e Produção Animal, 21(33): e2121332020. DOI: https://doi.org/10.1590/s1519-99402121332020
Selala, L.J. & Tyasi, T.L. 2022. Using morphological traits to predict body weight of Dorper sheep lambs. World, 12(1): 66-73. DOI: https://doi.org/10.54203/scil.2022.wvj9
Selvanathan, M., Jayabalan, N., Saini, G.K., Supramaniam, M. & Hussin, N. 2020. Employee productivity in Malaysian private higher educational institutions. PalArch's Journal of Archaeology of Egypt/Egyptology, 17(3): 66-79.
Shahidin, N.M., Ismail, R., Kamarudin, K.N. & Abe, S.S. 2018. Spatial variability of selected chemical properties of a lateritic soil under mango cultivation in Northern Peninsular Malaysia. Tropical Agriculture and Development, 62(2): 104-108.
Shiratsuchi, L.S., Fontes, J.R.A. & Resende, A.V. 2005. Correlação da distribuição espacial do banco de sementes de plantas daninhas com a fertilidade dos solos. Planta Daninha, 3(23): 429-436. DOI: https://doi.org/10.1590/S0100-83582005000300006
Siddiqui, M.A.R., Bhattacharjee, J., Das, Z.C., Islam, M.M., Islam, M.A., Haque, M.A., Parrish, J.J. & Shamsuddin, M. 2008. Crossbred bull selection for bigger scrotum and shorter age at puberty with potentials for better quality semen. Reproduction in Domestic Animals, 43(1): 74-79. DOI: https://doi.org/10.1111/j.1439-0531.2007.00857.x
Sirbu, C.B., Imre, K., Darabus, G., Suici, T., Mates, B. & Morariu, S. 2020. Prevalence of gastrointestinal parasitic infections in cattle and sheep in two regions of Romania. Turkish Journal of Veterinary & Animal Sciences, 44(3): 581-587. DOI: https://doi.org/10.3906/vet-1912-59
Somerville, G.J., Sønderskov, M., Mathiassen, S.K. & Metcalfe, H. 2020. Spatial modelling of within-field weed populations: A review. Agronomy, 10: 1044. DOI: https://doi.org/10.3390/agronomy10071044
Stojiljkovic, M., Stevanovic, O., Ivanov, S., Drobnjak, D., Urosevic, M. & Trailovic, R. 2015. Morphometrical characterisation of the Karakachan sheep from Stara planina, Serbia. Bulgarian Journal of Agricultural Science, 21(6): 1278-1284.
Tabbaa, M.J., Kridli, R.T., Al-Ghalban, A. & Barakeh, F.S. 2018. Age-related changes in scrotal circumference and some semen characteristics in Awassi rams. Animal Reproduction (AR), 3(4): 431-438.
Tang, L., Baskin, C., Baskin, J., Luo, K., Yu, X., Huang, W., Zhang, R. & Chen, Y. 2022. Methods of breaking physical dormancy in seeds of the invasive weed Mimosa pudica (Fabaceae) and a comparison with 36 other species in the genus. PeerJ, 10: e13567. DOI: https://doi.org/10.7717/peerj.13567
Türkyılmaz, D., Özyürek, S., Esenbuğa, N. & Yaprak, M. 2018. Correlation between various udder measurements and milk components in Morkaraman, Tuj and Awassi sheep. Pakistan Journal of Zoology, 50(5): 1921-1927. DOI: https://doi.org/10.17582/journal.pjz/2018.50.5.1921.1927
Vrdoljak, J., Prpić, Z., Samaržija, D., Vnučec, I., Konjačić, M. & Kelava Ugarković, N. 2020. Udder morphology, milk production and udder health in small ruminants. Mljekarstvo: časopis za unaprjeđenje proizvodnje i prerade mlijeka, 70(2): 75-84. DOI: https://doi.org/10.15567/mljekarstvo.2020.0201
Wahyudi, I., Qalfin, M., Susanti, R. & Widiatningrum, T. 2022. Relationship between scrotal circumference and quality of semen production in bulls: A meta-analysis review. Jurnal Sain Peternakan Indonesia, 17(3): 159-169. DOI: https://doi.org/10.31186/jspi.id.17.3.159-169
Walter, A.M., Christensen, S. & Simmelsgaard, S.E. 2002. Spatial correlation between weed species densities and soil properties. Weed Research, 42: 26-38. DOI: https://doi.org/10.1046/j.1365-3180.2002.00259.x
Wan-Azemin, A., Kari, A. & Alias, N. 2021. Assessment of subclinical mastitis effects on live weight, body condition score (BCS) and external udder measurements of dorper sheep. Jurnal Teknologi, 83(2): 135-142. DOI: https://doi.org/10.11113/jurnalteknologi.v83.15115
Worku, A. 2019. Body weight had highest correlation coefficient with heart girth around the chest under the same farmers feeding conditions for Arsi Bale sheep. International Journal of Agricultural Science and Food Technology, 5(1): 006-012. DOI: https://doi.org/10.17352/2455-815X.000035
Yousaf, A., Khalid, N., Aqeel, M., Rizvi, Z.F., Alhaithloul, H.A.S., Sarfraz, W., Mutairi, K.A., Albishi, T.S., Alamri, S., Hashem, M., Noman, A. & Qari, S.H. 2022. Assessment of composition and spatial dynamics of weed communities in agroecosystem under varying edaphic factors. PLoS One, 17: e0266778. DOI: https://doi.org/10.1371/journal.pone.0266778
Yousuf, F.E., Apu, A.S., Talukder, K.U., Ali, M.Y. & Husain, S.S. 2020. Adaptation and morphometric characterization of Boer goat in Bangladesh. Journal of the Bangladesh Agricultural University, 18(2): 428-434. DOI: https://doi.org/10.5455/JBAU.98621
Zargar, M., Bodner, G., Tumanyan, A., Tyutyuma, N., Plushikov, V., Pakina, E., Shcherbakova, N. & Bayat, M. 2018. Productivity of various barley (Hordeum vulgare L.) cultivars under semi-arid conditions in southern Russia. Agronomy Research, 16: 2242-2253.
Zayadi, R.A. 2021. Current outlook of livestock industry in Malaysia and ways towards sustainability. Journal of Sustainable Natural Resources, 2(2): 1-11. DOI: https://doi.org/10.30880/jsunr.2021.12.02.001
Zimdahl, R.L. 1993. Fundamental of Weed Science (5th ed.). Academic Press, New York, pp. 450. DOI: https://doi.org/10.1016/B978-0-12-781060-7.50024-0
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