Leaf analysis for pear: development of standards and the nutritional status of orchards in the Goulburn Valley and Murrumbidgee Irrigation Areas

1975 ◽  
Vol 15 (72) ◽  
pp. 129 ◽  
Author(s):  
den Ende B van ◽  
DR Leece
Keyword(s):  
Nutritional Status ◽  
New South ◽  
Yield Data ◽  
Leaf Analysis ◽  
South Wales ◽  
High Production ◽  
Pear Trees ◽  
Leaf Composition ◽  
Salt Toxicity ◽  
Good Agreement

Leaf composition standards for pear trees were formulated from the literature then evaluated in the Goulburn Valley, Victoria by surveying the leaf composition of high-production orchards for two seasons (1971-72 and 1972-73). Good agreement was found between the standards and orchard leaf composition although the calcium standards required slight amendment. A concurrent survey of orchards showing symptoms of salt toxicity showed that sodium and chloride levels previously considered safe were in fact toxic and the standards were amended accordingly. The revised standards were used to evaluate the nutritional status of young and older pear blocks in the Goulburn Valley and pear blocks in the Murrumbidgee Irrigation Areas (MIA), New South Wales. The findings for Goulburn Valley blocks were confirmed by multiple regression analysis of leaf composition and yield data.

Diagnostic leaf analysis for stone fruit. 3. Nutritional status of peach orchards

1974 ◽  
Vol 14 (71) ◽  
pp. 828 ◽  
Author(s):  
DR Leece ◽  
B Barkus
Keyword(s):  
Nutritional Status ◽  
New South ◽  
New South Wales ◽  
Considerable Improvement ◽  
Stone Fruit ◽  
Leaf Analysis ◽  
South Wales ◽  
Similar Survey ◽  
Leaf Composition

A three-year survey of the leaf composition of well-managed peach orchards was conducted in New South Wales each January from 1971 to 1973. Of the canning peach orchards surveyed, 47 per cent were deficient or low in nitrogen, 20 per cent were high in potassium, 12 per cent were low in manganese and 6 per cent were high in boron. This represented a considerable improvement over a similar survey in 1966 when comparable figures were nitrogen 83, potassium 84, manganese 33, and boron 34. Of the dessert peach orchards surveyed, 37 per cent were deficient or low in nitrogen, 36 per cent were low in potassium and 32 per cent were low in iron. A few orchards were low in manganese and zinc.

Diagnostic leaf analysis for stone fruit. 6. Apricot

1975 ◽  
Vol 15 (72) ◽  
pp. 123 ◽  
Author(s):  
DR Leece ◽  
Bvan den Ende
Keyword(s):  
New South ◽  
New South Wales ◽  
Element Composition ◽  
Rate Of Change ◽  
Correction Factors ◽  
Nutrient Element ◽  
Composition Data ◽  
Leaf Analysis ◽  
South Wales ◽  
Leaf Composition

Changes in the nutrient-element composition of leaves of 'Trevatt' apricot were measured monthly during the 1971-72 and 1972-73 seasons in New South Wales. The rate of change of leaf composition was least during January-February. Thus, leaf composition standards should be based on January- February samples and diagnostic sampling should be confined to this period where possible. Correction factors for adjusting the composition of early or late samples back to January 31 levels, were calculated from polynomials with time fitted to the leaf composition data. A survey of the leaf composition of well-managed 'Trevatt' apricot orchards was conducted each January from 1971 to 1973 in New South Wales and Victoria. Percentages of orchards classified as low to deficient (-), and high to excess (+) for various nutrients were as follows : New South Wales (averages of 1971 to 1973) N -41 ; P +37; K +49; Mg +56; Fe +1 9 ; Zn -18. Victoria (averages of 1972 and 1973) N -21 and +32; K +10; Fe -35; Mn +17; Zn -20.

Diagnostic leaf analysis for stone fruit. 2. Seasonal changes in the leaf composition of peach

1974 ◽  
Vol 14 (71) ◽  
pp. 822 ◽  
Author(s):  
DR Leece ◽  
AR Gilmour
Keyword(s):  
Seasonal Changes ◽  
New South ◽  
Element Composition ◽  
Rate Of Change ◽  
Correction Factors ◽  
Nutrient Element ◽  
Composition Data ◽  
Leaf Analysis ◽  
South Wales ◽  
Leaf Composition

Changes in the nutrient-element composition of leaves of peach cvs. Golden Queen, Gaum6, and Halehaven were measured monthly during the 1971 -72 and 1972-73 seasons in New South Wales. For all cultivars, the rate of change of leaf composition was least during January and February. Thus leaf composition standards should be based on January-February samples and diagnostic sampling should be confined to this period where possible. Correction factors for adjusting the composition November, December and March samples back to January 31 levels were calculated from polynomials with time fitted to the leaf composition data.

Diagnostic leaf analysis for stone fruit. 4. Plum

1975 ◽  
Vol 15 (72) ◽  
pp. 112 ◽  
Author(s):  
DR Leece
Keyword(s):  
New South ◽  
New South Wales ◽  
Rate Of Change ◽  
Stone Fruit ◽  
Correction Factors ◽  
Prunus Domestica ◽  
Composition Data ◽  
Leaf Analysis ◽  
South Wales ◽  
Leaf Composition

Changes in the leaf composition of Prunus domestica cv. D'Agen and P. salicina cv. Mariposa, were measured monthly during the 1971 -72 and 1972-73 seasons in New South Wales. The rate of change of leaf composition was least during January-February for D'Agen and during December-February for Mariposa. Thus, leaf composition standards should be based on January-February samples for D'Agen and December- February samples for Mariposa, and diagnostic sampling should be confined to these periods where possible. Correction factors for adjusting the composition of early or late samples back to January 31 levels, were calculated for D'Agen from polynomials with time fitted to the leaf composition data. A survey of the leaf composition of well-managed orchards was also conducted each January from 1971 to 1973. Of the European prune orchards surveyed, 51 per cent were low in nitrogen, 37 per cent were low in phosphorus, 28 per cent were low in iron, 25 per cent were high in copper, 10 per cent were high in manganese and 23 per cent were high in boron. Of the Japanese plum orchards surveyed, 33 per cent were high in nitrogen, 14 per cent were high in potassium, 22 per cent were low in calcium, 18 per cent were high in copper and 15 per cent were high in manganese.

Diagnostic leaf analysis for stone fruit. 5. Sweet cherry

1975 ◽  
Vol 15 (72) ◽  
pp. 118 ◽  
Author(s):  
DR Leece
Keyword(s):  
Sweet Cherry ◽  
New South ◽  
Element Composition ◽  
Rate Of Change ◽  
Correction Factors ◽  
Nutrient Element ◽  
Composition Data ◽  
Leaf Analysis ◽  
South Wales ◽  
Leaf Composition

Changes in the nutrient-element composition of leaves of 'St. Margaret' cherry were measured monthly during the 1971-72 and 1972-73 seasons in New South Wales. The rate of change of leaf composition was least during January-February. Thus, leaf composition standards should be based on January- February samples and diagnostic sampling should be confined to this period where possible. Correction factors for adjusting the composition of early or late samples back to January 31 levels were calculated from polynomials with time fitted to the leaf composition data. A survey of the leaf composition of well-managed orchards was conducted each January from 1971 to 1973. Nutrients were found to be low or deficient in the following percentages of the orchards surveyed : nitrogen 37; phosphorus 31 ; potassium 37; calcium 25; iron 43; and zinc 62. High levels of copper were found in 9 per cent and of manganese in 15 per cent of the orchards.

The effect of season, stage of plant growth and leaf position on nutrient concentration in banana leaves on a krasnozem in New South Wales

1974 ◽  
Vol 14 (66) ◽  
pp. 112 ◽  
Author(s):  
DW Turner ◽  
B Barkus
Keyword(s):  
Plant Growth ◽  
Nutrient Concentration ◽  
New South ◽  
New South Wales ◽  
Nutrient Concentrations ◽  
Leaf Position ◽  
Leaf Analysis ◽  
South Wales ◽  
Banana Leaves ◽  
Cu And Zn

At Alstonville, New South Wales, leaf position had a greater effect than season on the nutrient concentrations of N, P, K, Ca, Mn, Cu, and Zn in the laminae of Williams bananas growing on a krasnozem soil and sampled over a 4-year period. However, season was more important for Mg. The effect of stage of plant growth was significant but much smaller than the other influences. When sampling for leaf analysis, leaf position and plant age can be standardised, but a major problem in this investigation was unpredictable, significant changes in nutrient composition from one sampling date to another. If these results are true for other soils. the data do not allow critical levels to be applied.

Simulation of the effect of chilling injury and nitrogen supply on floret fertility and yield in rice

1994 ◽  
Vol 34 (7) ◽  
pp. 921 ◽  
Author(s):  
DC Godwin ◽  
WS Meyer ◽  
U Singh
Keyword(s):  
Management Practices ◽  
New South ◽  
Chilling Injury ◽  
New South Wales ◽  
Growth And Yield ◽  
Comprehensive Model ◽  
Night Time ◽  
Yield Data ◽  
South Wales ◽  
High Yields

Evidence exists that night temperatures <18�C immediately preceding flowering in rice crops can adversely affect floret fertility and, hence, yields. It has been suggested that sterility induced by low temperature is also influenced by floodwater depth and nitrogen (N) rate. In southern New South Wales, low night-time temperatures are believed to be a major constraint to the achievement of consistently high yields. The availability of a comprehensive model of rice growth and yield that is sensitive to this constraint would aid the development of better management practices. CERES RICE is a comprehensive model that simulates the phasic development of a rice crop, the growth of its leaves, stems, roots, and panicles, and their response to weather. It also simulates the water and N balances of the crop and the effects of stresses of water and N on the yield-forming processes. The model has been extensively tested in many rice-growing systems in both tropical and temperate environments. However, the original model was unable to simulate the level of chilling injury evident from yield data from southern New South Wales. This paper reports modifications made in the model to simulate these effects and the evaluation of the model in environments of low night temperature. Inclusion of the chilling injury effect greatly improved the accuracy of estimated yields from treatments in an extensive field experiment. However, additional testing with a wider range of data sets is needed to confirm the international applicability of the modifications.

Production of two species and two interspecific hybrids of phalaris under irrigation in south-west New South Wales

1980 ◽  
Vol 20 (103) ◽  
pp. 181 ◽  
Author(s):  
JW Read ◽  
JV Lovett
Keyword(s):  
White Clover ◽  
Nitrogen Fertilizer ◽  
Interspecific Hybrids ◽  
New South ◽  
New South Wales ◽  
Paspalum Dilatatum ◽  
Suitable Alternative ◽  
South West ◽  
South Wales ◽  
High Production

Two phalaris hybrids (Siro 11 46 and allopolyploid) and the parent lines (Phalaris aquatica and P. arundinacea) were compared in monoculture with nitrogen fertilizer and in a mixed sward with white clover and lucerne. The experiment was flood irrigated and the effects of defoliating the swards at intervals of 21, 42 and 84 days were measured. The hybrid (Siro 11 46) was the most productive genotype at all defoliation intervals. Eighty one % of its annual yield occurred in spring and summer. This production imbalance renders Siro 11 46 unsuitable as the foundation of a pasture for high production throughout the year. The mixed sward produced more than the monoculture sward when defoliated every 21 or 42 days and there was increased production associated with increased defoliation interval. The monoculture sward was more productive than the mixed sward at an 84 day defoliation interval. The yield of Siro 1146 + white clover was 2.25 t ha-1 per 84 days, compared with a mean yield of phalaris + white clover of 1.78 t ha-1 per 84 days for the three other genotypes. The results indicate that Siro 11 46 grown with white clover and defoliated approximately every 42 days would be a suitable alternative pasture to Paspalum dilatatum and white clover in the two-pasture system used in irrigation areas of southern New South Wales. The problems of low acceptability and suspected toxicity of Siro 1146 are discussed.

Leaf Analysis as a Diagnostic Method and Advisory Aid in Crop Nutrition

1968 ◽  
Vol 4 (1) ◽  
pp. 17-27 ◽  
Author(s):  
C. Bould
Keyword(s):  
Nutritional Status ◽  
Diagnostic Method ◽  
Nutrient Supply ◽  
Practical Application ◽  
Leaf Analysis ◽  
Crop Nutrition ◽  
Leaf Sampling ◽  
And Storage ◽  
Leaf Composition

SummaryThe general principles of leaf analysis as a diagnostic method and as a guide to plant nutritional status are outlined and discussed. Factors, other than nutrient supply, that affect leaf composition are mentioned and methods of leaf sampling, preparation and storage are described. The practical application of leaf analysis to fruit, flower, vegetable, tree and miscellaneous economic crops is reviewed and suggestions are made for its use as an advisory aid.

The development of lucerne with resistance to root rot in poorly aerated soils

1978 ◽  
Vol 18 (92) ◽  
pp. 434 ◽  
Author(s):  
VE Rogers ◽  
JAG Irwin ◽  
G Stovold
Keyword(s):  
Root Rot ◽  
New South ◽  
New South Wales ◽  
Mass Selection ◽  
Infested Soil ◽  
Yield Data ◽  
Phytophthora Megasperma ◽  
Phytophthora Root Rot ◽  
South Wales ◽  
Disease Free

Three cycles of recurrent mass selection in the field increased the level of resistance of lucerne (Medicago sativa) to Phytophthora root rot in irrigated heavy clay soil at Deniliquin, New South Wales. The breeding stocks were derived from Siro Peruvian and Lahontan. In each cycle between 45 and 80 vigorous, disease free plants were selected from soil naturally infested with Phytophthora megasperma var. sojae, and allowed to interpollinate. Yield data and ratings for root rot were obtained for half-sib families sown in rows. Progeny in cycle 1 were inoculated by isolates of P. megasperma from both New South Wales and Queensland, and there was substantial agreement between both sources in ratings for disease. In the third cycle of selection, progeny had a disease rating of 1.4 when inoculated with Queensland isolates of P. megasperma, compared with 3.6 and 4.1 for Hunter River and Siro Peruvian respectively (plants scored 1 or 2 considered resistant; 3, 4 or 5 susceptible). In a field trial, the percentage of disease-free plants after eight months of growth in infested soil was: cycle 3 selections, 44.4; Hunter River, 9.9; Siro Peruvian, 12.0. Cumulative dry matter production of the selections during that time was twice that of Hunter River.

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