{"title":"Size of the prize: the value of closing pasture yield gaps on heterogeneous soil types in a dairy farm in Canterbury, New Zealand","authors":"Anna Taylor, M. Andreucci, S. Zydenbos","doi":"10.33584/jnzg.2021.83.3514","DOIUrl":null,"url":null,"abstract":"Identifying opportunities to further improve pasture production on high producing, irrigated Canterbury dairy farms is complex. An innovation systems approach was used to identify the factors contributing to variation in pasture production on a case study farm such as: soil characteristics, irrigation management, and grass grub populations. This paper focuses on the value proposition of managing soil zones to optimise pasture production. Using EM38 mapping, area under a single centre pivot irrigator were characterised into soil zones of ‘low’, ‘medium’ and ‘high’. Actual measurements of irrigation application and soil characteristics were modelled in APSIM to estimate the pasture production of ‘low’ and ‘medium’ soil zones under a constant irrigation regime, giving an annual difference of 2900 kg DM/ha between the zones. In a ‘typical irrigated Canterbury System 4 dairy farm’ modelled in FARMAX, with 20% ‘low’ and 80% ‘medium’ soil zones, increasing the pasture growth in the ‘low’ zone to that of the ‘medium’ zone gave an increase of 580 kg DM/ha. This produced an increase of 51 kg/ha of milk solids and increased the stocking rate by 0.2 cow/ha, which resulted in a profit increase of $298/ha/year. The value of this on a 255 ha farm would be $75,000 per annum, while at a regional scale, increasing the productivity of the 52,900 ha of ‘low’ zone soils on irrigated dairy farms in Canterbury would add around $14 M of profit. Taking a data-driven spatial management approach to understanding the drivers of variability in pasture production has potential to identify opportunities and their potential value even in high-performing systems.","PeriodicalId":36573,"journal":{"name":"Journal of New Zealand Grasslands","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of New Zealand Grasslands","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33584/jnzg.2021.83.3514","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Environmental Science","Score":null,"Total":0}
引用次数: 0
Abstract
Identifying opportunities to further improve pasture production on high producing, irrigated Canterbury dairy farms is complex. An innovation systems approach was used to identify the factors contributing to variation in pasture production on a case study farm such as: soil characteristics, irrigation management, and grass grub populations. This paper focuses on the value proposition of managing soil zones to optimise pasture production. Using EM38 mapping, area under a single centre pivot irrigator were characterised into soil zones of ‘low’, ‘medium’ and ‘high’. Actual measurements of irrigation application and soil characteristics were modelled in APSIM to estimate the pasture production of ‘low’ and ‘medium’ soil zones under a constant irrigation regime, giving an annual difference of 2900 kg DM/ha between the zones. In a ‘typical irrigated Canterbury System 4 dairy farm’ modelled in FARMAX, with 20% ‘low’ and 80% ‘medium’ soil zones, increasing the pasture growth in the ‘low’ zone to that of the ‘medium’ zone gave an increase of 580 kg DM/ha. This produced an increase of 51 kg/ha of milk solids and increased the stocking rate by 0.2 cow/ha, which resulted in a profit increase of $298/ha/year. The value of this on a 255 ha farm would be $75,000 per annum, while at a regional scale, increasing the productivity of the 52,900 ha of ‘low’ zone soils on irrigated dairy farms in Canterbury would add around $14 M of profit. Taking a data-driven spatial management approach to understanding the drivers of variability in pasture production has potential to identify opportunities and their potential value even in high-performing systems.
确定进一步提高坎特伯雷高产灌溉奶牛场牧场产量的机会是复杂的。采用创新系统方法来确定导致案例研究农场牧场生产变化的因素,如:土壤特征、灌溉管理和草地幼虫种群。本文的重点是管理土壤区以优化牧场生产的价值主张。使用EM38绘图,将单中心枢轴灌溉器下的区域划分为“低”、“中”和“高”土壤区。APSIM对灌溉应用和土壤特性的实际测量进行了建模,以估计在恒定灌溉制度下“低”和“中等”土壤区的牧场产量,得出两个区之间2900 kg DM/ha的年差异。在FARMAX模拟的“典型灌溉坎特伯雷系统4奶牛场”中,20%的“低”和80%的“中等”土壤区,将“低”区的牧场生长增加到“中等”区,可增加580 kg DM/ha。这导致奶固体增加了51公斤/公顷,放养率增加了0.2头牛/公顷,利润增加了298美元/公顷/年。255公顷农场每年的价值为75000美元,而在区域范围内,坎特伯雷灌溉奶牛场52900公顷“低”区土壤的生产力提高将增加约1400万美元的利润。采用数据驱动的空间管理方法来理解牧场生产可变性的驱动因素,即使在高性能系统中,也有可能识别机会及其潜在价值。