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.

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.

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.

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.

Correlations between Breeding Activity in the Marsupial Bandicoots and some Environmental Variables

1984 ◽  
Vol 32 (2) ◽  
pp. 219 ◽  
Author(s):  
A Barnes ◽  
RT Gemmell
Keyword(s):  
Minimum Temperature ◽  
Environmental Variables ◽  
New South ◽  
Environmental Variable ◽  
Rate Of Change ◽  
Strongly Correlated ◽  
Breeding Activity ◽  
South Wales ◽  
Lactating Females ◽  
Derivatives Of

The percentage of lactating females in wild populations of bandicoots, observed during each month of the year, has been correlated with the environmental variables of daylength, rainfall and temperature, and derivatives of these variables. Breeding activity recorded in four studies carried out in each of the eastern Australian states, Tasmania, Victoria, New South Wales and Queensland, was examined. In all four studies, the proportion of lactating females was strongly correlated with the rate of change of minimum temperature, although in some studies rainfall and daylength showed some small additional associations. An analysis of the number of births in a housed captive population in Queensland similarly showed a stronger association of numbers of births to rate of change of minimum temperature than to any other environmental variable examined.

Track Shape, Resulting Dynamics and Injury Rates of Greyhounds

2018 ◽  
Author(s):  
Fatemeh Mahdavi ◽  
Md Imam Hossain ◽  
Hasti Hayati ◽  
David Eager ◽  
Paul Kennedy
Keyword(s):  
New South ◽  
Rate Of Change ◽  
Straight Section ◽  
Simulation Data ◽  
Injury Rates ◽  
Injury Data ◽  
South Wales ◽  
Design Variables ◽  
Heading Direction ◽  
Before And After

A challenge for greyhound racing is optimizing the tracks to minimize the risk of injuries. The effects of different track design variables on greyhound injury rates has not been explored sufficiently. The purpose of this paper is to present some preliminary findings on the effect of greyhound racetrack design variables such as the track curvature and lure alignment. An analysis was carried out of two years of greyhound racing injury data from three different tracks in New South Wales, Australia. The data from before and after an intervention was introduced were compared. Variables in the study, which may affect\ the analysis were investigated to minimize the errors. The analysis showed that there is a reduction in injury rates for a longer lure arm in the tracks with short or no straight section. To verify the effect of track design variables on the greyhound dynamics a kinematic simulation of greyhound center of gravity was created. The simulation considered fundamental variables correlating directly with kinematics between the greyhound and the track. The simulation data showed that the rate of change in the rotation of the greyhound heading direction decreases when the track running path has a more gradual curvature. The result of the simulation showed excellent agreement with that of injury data analysis.

Development of a leaf sampling technique and leaf standards for kiwifruit in New South Wales

1989 ◽  
Vol 29 (3) ◽  
pp. 411 ◽  
Author(s):  
GC Cresswell
Keyword(s):  
New South ◽  
New South Wales ◽  
Sampling Technique ◽  
Sampling Procedure ◽  
Nutrient Composition ◽  
Actual Performance ◽  
Leaf Analysis ◽  
Growing Seasons ◽  
South Wales ◽  
Leaf Sampling

The nutrient composition of foliage from mature vines of the kiwifruit varieties, Hayward and Bruno was monitored monthly over 3 consecutive growing seasons in an orchard on the central coast of New South Wales. Within a season, concentrations of N (5.07-2.74%), P (1.0-0.44%), K (3.29-1.95%) and Zn (36-19 mg/kg) in the first leaf after the fruit generally declined while concentrations of Ca (1.4 1 - 4.21%), Mg(0.28-0.50%) and Mn (151-275 mg/kg) increased. Leaf composition was relatively stable in February and this is proposed as a suitable standard sampling time for leaf analysis in New South Wales. Only minor differences in nutrient composition were found between the first leaf and other potential index leaves remaining on shoots at this time. Using this leaf sampling procedure, commercial kiwifruit orchards in New South Wales were surveyed over 3 consecutive seasons. The applicability of the New Zealand leaf analysis standards for use in New South Wales was assessed by comparing the predicted and actual performance of orchards in the survey. Where unreasonable divergence between the two was noted the standards were amended to make them more relevant to field conditions in New South Wales.

Relationships Between Sheep Production, Stocking Rate and Rainfall on Commercial Sheep Properties in Western New South Wales.

1993 ◽  
Vol 15 (1) ◽  
pp. 79 ◽  
Author(s):  
DA Roshier ◽  
I Barchia
Keyword(s):  
New South ◽  
New South Wales ◽  
Rate Of Change ◽  
Rainfall Data ◽  
Related Factor ◽  
Stocking Rate ◽  
Wool Production ◽  
South Wales ◽  
Wide Range ◽  
Sheep Production

Historical sheep production and rainfall data from 14 properties in semi-arid western New South Wales were analysed for relationships between wool production, lamb marking percentage, stocking rate and rainfall. Twelve of the properties were located on predominantly chenopod shrubland (Atriplex spp. and Maireana spp.) and two on mulga (Acacia aneura) land types. The relationship between wool production per head (WOOLHD, kg greasylsheep) and rainfall (RF, mmlyear) was similar on 10 of the 11 properties with wool production and rainfall data. This was so despite differences in vegetation type and average stocking rate. The generality of this relationship suggests that wool production per head is largely determined by a common, rainfall related factor operating over a wide range of management regimes. Stocking rates did not have a significant effect on wool production per head on the majority of properties. Data from the above properties were combined to generate the following generalised equation: -29.43 - WOOLHD = 7.5 lexp RF R~ =35.72 (P<0.01) Wool production per hectare was largely determined by stocking rate on most properties. No consistent relationship between lamb marking percentage and when rain fell could be found. However, rainfall in the period between joining and lamb marking was significant on six properties. It is concluded that total wool production is largely determined by stock numbers. The data suggests animal productivity is more dependent on management responses to dry periods and the rate of change in forage availability in the absence of rain.

Sign in / Sign up

Export Citation Format

Share Document