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Crop and Pasture Science Crop and Pasture Science Society
Plant sciences, sustainable farming systems and food quality
Table of Contents
Crop and Pasture Science

Crop and Pasture Science

Volume 71 Number 1 2020

CP19005An integrated framework for predicting the risk of experiencing temperature conditions that may trigger late-maturity alpha-amylase in wheat across Australia

Robert N. Armstrong 0000-0002-9360-6153, Andries B. Potgieter, Daryl J. Mares, Kolumbina Mrva, Jason Brider and Graeme L. Hammer
pp. 1-11

Late-maturity alpha-amylase (LMA) expression in some wheat varieties is a critical issue for the Australian wheat industry, but the relative risks of LMA incidence across the wheatbelt are not well understood. A simulation modelling framework was developed and analysis conducted to determine risks associated with one set of temperature conditions that may trigger LMA. Application of an LMA simulation framework can assist industry to quantify actual risks of LMA and support better informed decision-making for managing LMA risk.

CP19149Effects of uniconazole or ethephon foliar application on culm mechanical strength and lignin metabolism, and their relationship with lodging resistance in winter wheat

Irshad Ahmad 0000-0002-0270-5931, Muhammad Kamran, Ziyan Guo, Xiangping Meng, Shahzad Ali, Peng Zhang, Tiening Liu, Tie Cai and Qingfang Han
pp. 12-22

Lodging stress is an important constraint that leads to yield and quality losses and cause problems with mechanical harvesting of wheat crops. Foliar application of uniconazole or ethephon significantly reduced the lodging rate by improving lignin metabolism and optimising culm morphological characteristics in winter wheat, thereby also increasing the grain yield.

CP19197Soil carbon dynamics following the transition of permanent pasture to cereal cropping: influence of initial soil fertility, lime application and nutrient addition

Elizabeth C. Coonan, John A. Kirkegaard, Clive A. Kirkby, Craig L. Strong, Martin R. Amidy and Alan E. Richardson 0000-0003-0708-1299
pp. 23-35

Soil carbon (C) is generally lost during the cultivated transition from pasture to crop. Loss of C in the <0.4-mm fine fraction of soil was smaller in higher fertility soils when lime was applied. For lower fertility soils, the treatment with lime had greater loss of C in the <0.4-mm fraction unless supplementary nutrients were applied. Loss of C from the >0.4-mm coarse fraction as a proportion of total loss was greater with incorporated pasture residue than with nutrient-poor crop residue.

CP19101Optimal lime rates for soil acidity mitigation: impacts of crop choice and nitrogen fertiliser in Western Australia

Sanaz Shoghi Kalkhoran 0000-0001-6619-829X, David Pannell, Tas Thamo, Maksym Polyakov and Benedict White
pp. 36-46

The economics of liming and nitrogen (N)-related practices are inter-related because N-related practices, including fertilisers and legume crops, affect soil acidification. This study presents insights from a dynamic economic optimisation model that simultaneously determines optimal strategies for lime application, N application and legume crop rotation in Western Australia. The most profitable liming rate is sensitive to N fertiliser type and legume rotation, and optimal rates for both lime and fertiliser increase with rainfall.

CP19219Functional analysis of the soybean gene GmTIR under biotic and abiotic stresses

Xiaoting Wang, Lu Huang, Xiaochun Bian, Zhan Li, Ruifang Gao, Xing Zhang, Xiaoli Zhang, Xiangnan Li, Haitang Wang, Na Guo, Jianying Feng, Jinming Zhao and Han Xing 0000-0003-3200-2572
pp. 47-55

Characterisation of critical genes involved in the stress responses is an essential prerequisite for soybean crop improvement. Soybean proteins containing TIR domains are likely to play a role in stress resistance, and the present study provides evidence that the soybean GmTIR gene can improve the tolerance of salt and drought stresses, as demonstrated using the model plant Arabidopsis. GmTIR therefore has the potential to improve the tolerance of soybean to multiple types of stresses; however, confirmation of the effects of GmTIR in soybean remains to be completed via transgenic studies in soybean.


Optimising P level could improve the source–sink relationship of dry matter and phosphorus. This study showed that leaves are the major contributor to the seed P in cotton, and that cultivars significantly differed in source size in response to P fertilisation.

CP19112Changing patterns of pasture production in south-eastern Australia from 1960 to 2015

Ruchika S. Perera 0000-0002-5205-425X, Brendan R. Cullen and Richard J. Eckard
pp. 70-81

Seasonal patterns of pasture production and its year-to-year variability are important because they influence key grazing management decisions such as stocking rates and policies. This study found that pasture growth patterns have changed in south-eastern Australia, with increased winter production, decreased spring growth and increased year-to-year variability in the autumn and spring seasons in 2002–15 compared with earlier periods. Similar changes to pasture growth patterns were predicted under future climate scenarios for the year 2030, but this study provides evidence that these changes are already occurring.

CP18455Morphogenetic and structural characteristics of Urochloa species under inoculation with plant-growth-promoting bacteria and nitrogen fertilisation

Camila Fernandes Domingues Duarte 0000-0002-9776-1353, Ulysses Cecato, Mariangela Hungria, Henrique Jorge Fernandes, Thiago Trento Biserra 0000-0002-6130-9787, Sandra Galbeiro, Anny Karulinny Barroso Toniato and Diogo Rodrigues da Silva
pp. 82-89

The use of microorganisms in agricultural crops is well established, and inoculation of legumes such as soybeans has been in practice for several years. In forage plants, these studies are still scarce, and so the present study aimed to evaluate the effect of different bacteria on Urochloa genotypes. The effects of bacteria on the morphological and structural characteristics of the forages are clear; hence, this study expands the possibilities for reducing nitrogen fertiliser use and practising agriculture without dependence on N inputs.


The selection of genotypes with high yield potential under water deficit is a major goal for lucerne-breeding programmes. The use of physiological traits related to forage biomass production could improve the selection process; however, their evaluation is usually expensive and time-demanding. The prediction of both productivity and physiological traits by using remote sensing and statistical models could allow the use of those traits routinely in breeding programmes.

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