More from less? – Efficient water use for macadamias

Macadamias, adapted to the fringes of subtropical rainforests of coastal, eastern Australia, are resilient to mild water stress. Even after prolonged drought, it is difficult to detect stress in commercial trees. Despite this, macadamia orchards in newer irrigated regions produce more consistent crops than those from traditional, rain-fed regions. Crop fluctuations in the latter tend to follow rainfall patterns. The benefit of irrigation in lower rainfall areas is undisputed, but there are many unanswered questions about the most efficient use of irrigation water. Water is used more efficiently when it is less readily available, causing partial stomatal closure that restricts transpiration more than it restricts photosynthesis. Limited research suggests that macadamias can withstand mild stress. In fact, water use efficiency can be increased by strategic deficit irrigation. However, macadamias are susceptible to stress during oil accumulation. There may be benefits of applying more water at critical times, less at others, and this may vary with cultivar. Currently, it is common for macadamia growers to apply about 20-40 L tree-1 day-1 of water to their orchards in winter and 70-90 L tree-1 day-1 in summer. Research reported water use at 20-30 L tree-1 day-1 during winter and 40-50 L tree-1 day-1 in summer using the Granier sap flow technique. The discrepancy between actual water use and farmer practice may be due to water loss via evaporation from the ground, deep drainage and/or greater transpiration due to luxury water consumption. More irrigation research is needed to develop efficient water use and to set practical limits for deficit irrigation management.

Beebe House

The Beebe House was one of the first hotels built on South Bass Island. Constructed in the 1860s, it was expanded by Henry Beebe in 1869. Situated on Main Street in Put-in-Bay, the hotel accommodated 400 guests. It housed a billiard room, bowling alley, and dance hall. Rates were $14,00 per week and $2.50 per day. Servants and children were half price.

A model of macadamia with application to pruning in orchards

A self-organising model of macadamia, expressed using L-Systems, was used to explore aspects of canopy management. A small set of parameters control the basic architecture of the model, with a high degree of self-organisation occurring to determine the fate and growth of buds. Light was sensed at the leaf level and used to represent vigour and accumulated basipetally. Buds also sensed light so as to provide demand in the subsequent redistribution of the vigour. Empirical relationships were derived from a set of 24 completely digitised trees after conversion to multiscale tree graphs (MTG) and analysis with the OpenAlea software library. The ability to write MTG files was embedded within the model so that various tree statistics could be exported for each run of the model. To explore the parameter space a series of runs was completed using a high-throughput computing platform. When combined with MTG generation and analysis with OpenAlea it provided a convenient way in which thousands of simulations could be explored. We allowed the model trees to develop using self-organisation and simulated cultural practices such as hedging, topping, removal of the leader and limb removal within a small representation of an orchard. The model provides insight into the impact of these practices on potential for growth and the light distribution within the canopy and to the orchard floor by coupling the model with a path-tracing program to simulate the light environment. The lessons learnt from this will be applied to other evergreen, tropical fruit and nut trees.

CONTRIBUIÇÃO DOS ATRIBUTOS QUÍMICOS DO SOLO NO DESENVOLVIMENTO VEGETATIVO DO PARICÁ EM DIFERENTES SISTEMAS DE CULTIVO

Objetivou-se avaliar alguns componentes químicos de um Latossolo e a relação com o desenvolvimento vegetativo do paricá [ Schizolobium amazonicum (Huber ex Ducke)] em diferentes sistemas de cultivo em áreas de reflorestamento no município de Tailândia, nordeste paraense. Foram avaliados os sistemas PP [paricá x puerária ( Pueraria phaseoloides )], PA [paricá x acácia ( Acacia mangium )] e P (paricá monocultivo) conduzidos em 5 anos pela empresa G.M. Sufredini Industrial Ltda. e coletadas amostras de solos na profundidade de 0-20 cm para análise de pH, C e N totais, H+Al, P disponível, Ca, Mg, K e Al trocáveis e calculados os valores de C/N, SB, T, V e m. O desenvolvimento vegetativo do paricá foi avaliado pela sobrevivência, mortalidade e no número de plantas defeituosas além do DAP. Os resultados mostraram que houve o aumento no teor de nitrogênio do solo no tratamento PP; a baixa fertilidade do solo no tratamento PA, mas onde o paricá obteve a maior média em diâmetro (DAP = 16,64 cm) e a maior taxa de sobrevivência no tratamento P (90,63%). Conclui-se que a relação solo-planta nos sistemas paricá e puerária e paricá em monocultivo contribuiu para o estabelecimento dos indivíduos de paricá.

Optimised wheat root architecture for increased yield and yield stability in the face of a changing climate.

This project provided information, selection techniques and strategies to facilitate the development of high-yielding, stay-green wheat varieties for Australian growers through: a) Improved understanding of the relationships between seminal root traits and other root- and shoot-related traits in determining high-yielding, stay-green phenotypes. b). Molecular markers and rapid phenotypic screening methods that allow selection in breeding programs and identification of genetic regions controlling favourable traits. c). Identification of traits leading to high-yielding, stay-green phenotypes for particular target populations of environments using computer simulation studies.

Response of some chickpea ( Cicer arietinum L.) genotypes to Orobanche foetida Poir. parasitism

In Tunisia, broomrape ( Orobanche foetida Poir.) causes major drawbacks especially in faba bean ( Vicia faba L.) Chickpea ( Cicer arietinum L.) suffers little damage compared to faba bean, but with the winter sowing chickpea cultivars, broomrape might become a serious problem for chickpea cultivation. The development of resistant cultivars remains the most efficient way to solve this problem. The behavior of six chickpea genotypes to O. foetida was studied under field natural infestation and artificial inoculation in pots and petri dishes in greenhouse conditions. During the cropping seasons 2010-2011 and 2012-2013 the level of infection was very low. The number of emerged parasites per host plant varied from 0.18 to 0.43 and the incidence from 6.5% to 23%. Among the six tested genotypes, G1, G2, and G4 showed partial resistance to O. foetida with low number and dry weight of emerged parasite and high grain yield compared to the other genotypes, although no significant differences were recorded. In pot experiments, the number and total dry weight of broomrape per plant were lower for G1 and G2 genotypes than the other genotypes. Parasitism does not affect significantly the shoot dry weight and number of pods of these genotypes. The total chlorophyll content was significantly reduced under infestation in all genotypes. In Petri dishes experiments, results showed that percent germination of O. foetida seeds varied from 49% to 65% and does not play a role in the resistance of chickpea genotypes. In contrast, broomrape attachment was lower and slower for the genotypes G1, G2, and G4 than the other genotypes. Resistance in chickpea genotypes was characterized by few parasite attachments on roots and a limited growth of established tubercles. No necrosis of attached tubercles was observed in the different experiments.

Heterosis in locally adapted sorghum genotypes and potential of hybrids for increased productivity in contrasting environments in Ethiopia

Increased productivity in sorghum has been achieved in the developed world using hybrids. Despite their yield advantage, introduced hybrids have not been adopted in Ethiopia due to the lack of adaptive traits, their short plant stature and small grain size. This study was conducted to investigate hybrid performance and the magnitude of heterosis of locally adapted genotypes in addition to introduced hybrids in three contrasting environments in Ethiopia. In total, 139 hybrids, derived from introduced seed parents crossed with locally adapted genotypes and introduced R lines, were evaluated. Overall, the hybrids matured earlier than the adapted parents, but had higher grain yield, plant height, grain number and grain weight in all environments. The lowland adapted hybrids displayed a mean better parent heterosis (BPH) of 19%, equating to 1160 kg ha− 1 and a 29% mean increase in grain yield, in addition to increased plant height and grain weight, in comparison to the hybrids derived from the introduced R lines. The mean BPH for grain yield for the highland adapted hybrids was 16% in the highland and 52% in the intermediate environment equating to 698 kg ha− 1 and 2031 kg ha− 1, respectively, in addition to increased grain weight. The magnitude of heterosis observed for each hybrid group was related to the genetic distance between the parental lines. The majority of hybrids also showed superiority over the standard check varieties. In general, hybrids from locally adapted genotypes were superior in grain yield, plant height and grain weight compared to the high parents and introduced hybrids indicating the potential for hybrids to increase productivity while addressing farmers' required traits.

Analyses of the community compositions of root rot pathogenic fungi in the soybean rhizosphere soil

Soybean ( Glycine max [L.] Merr.) root rot is an important disease of soybean under continuous cropping, and root rot is widely distributed throughout the world. This disease is extremely harmful, and it is difficult to prevent and control. The study aimed to elucidate the composition of root rot pathogenic fungal communities in the continuous cropping of soybean. In this study, we employed PCRDGGE technology to analyze the communities of root rot pathogenic fungi in soybean rhizosphere soil subjected to continuous cropping during a season with a high incidence of root rot in Heilongjiang province, China, the main soybean producing area in China. The results of 13 DGGE bands were analyzed by phylogenetic revealed that the predominant root rot pathogenic fungi in rhizosphere soil in the test area were Pythium ultimum and Fusarium species. The results of cluster analysis showed that the duration of continuous cropping, the soybean variety and the plant growth stage all had significant effects on the diversity of root rot pathogenic fungi in rhizosphere soil.

Sorghum Crop Modeling and Its Utility in Agronomy and Breeding

Crop models are simplified mathematical representations of the interacting biological and environmental components of the dynamic soil–plant–environment system. Sorghum crop modeling has evolved in parallel with crop modeling capability in general, since its origins in the 1960s and 1970s. Here we briefly review the trajectory in sorghum crop modeling leading to the development of advanced models. We then (i) overview the structure and function of the sorghum model in the Agricultural Production System sIMulator (APSIM) to exemplify advanced modeling concepts that suit both agronomic and breeding applications, (ii) review an example of use of sorghum modeling in supporting agronomic management decisions, (iii) review an example of the use of sorghum modeling in plant breeding, and (iv) consider implications for future roles of sorghum crop modeling. Modeling and simulation provide an avenue to explore consequences of crop management decision options in situations confronted with risks associated with seasonal climate uncertainties. Here we consider the possibility of manipulating planting configuration and density in sorghum as a means to manipulate the productivity–risk trade-off. A simulation analysis of decision options is presented and avenues for its use with decision-makers discussed. Modeling and simulation also provide opportunities to improve breeding efficiency by either dissecting complex traits to more amenable targets for genetics and breeding, or by trait evaluation via phenotypic prediction in target production regions to help prioritize effort and assess breeding strategies. Here we consider studies on the stay-green trait in sorghum, which confers yield advantage in water-limited situations, to exemplify both aspects. The possible future roles of sorghum modeling in agronomy and breeding are discussed as are opportunities related to their synergistic interaction. The potential to add significant value to the revolution in plant breeding associated with genomic technologies is identified as the new modeling frontier.