Optimal Leaf Analysis Norms for Avocado (cv. Fuerte)

Similar documents
THE EFFECT OF NITROGEN FERTILISER ON THE GROWTH, YIELD AND MINERAL CONTENTS OF LEAVES OF THE AVOCADO CV FUERTE

Properly Timed Soil-applied Nitrogen Fertilizer Increases Yield and Fruit Size of Hass Avocado

Dept. of Horticulture, Agricultural Research Organization The Volcani Center, Bet Dagan 50250, Israel

SEASONAL WATER REQUIREMENTS OF AVOCADO TREES GROWN UNDER SUBTROPICAL CONDITIONS

E. Lahav Dept. of Horticulture, Agricultural Research Organization, The Volcani Center, Bet Dagan 50250, Israel.

Curvilinear Relationship between Leaf Nitrogen and Yield of Fuerte Avocados 1

Number of Replications and Plot Sizes Required for Reliable Evaluation of Nutritional Studies and Yield Relationships with Citrus and Avocado 1

The Response of Avocado and Mango to Soil Temperature 1

Can More Intensive Plantings of Avocado Orchards be Maintained?

Water Requirements of Avocado in Israel. II* Influence on Yield, Fruit Growth and Oil Content

Nitrogen and Phosphorus Fertilizer Requirements for Young, Bearing Microsprinkler-Irrigated Citrus, 2005 Report

LEAF MINERAL NORMS OF HASS AVOCADO TREES FROM THE WESTERN BAY OF PLENTY OF NEW ZEALAND

RE-EVALUATION OF IRRIGATION WATER AMOUNTS UNDER CHANGING GROWING CONDITIONS OF AVOCADOS IN ISRAEL

Calibrating avocado irrigation through the use of continuous soil moisture monitoring and plant physiological parameters

Response of Micro-Sprinkler Irrigated Lisbon lemons to N Rate and Source on a Superstition Sand

The Influence of Tree and Fruit Manipulation on Avocado Tree Physiology Preliminary Results

Mulching of Avocado Orchards to Increase Hass Yield and Fruit Size and Boost Financial Rewards a Three Season Summary of Research Findings

Studies on the Bearing Behavior of the Fuerte Avocado Variety A PROGRESS REPORT

The Effect of Minimum Temperature on Avocado Yields

Effect of microgranular sulphur on nutrient uptake, soil properties and yield of banana

Use of a Slow Release Triazone-Based Nitrogen Fertilizer on Lemon Trees

Irrigation and Fertilization Management of Avocados

Volume 1, Issue 3 A California Avocado Commission Publication October 2001

WATER SOLUBLE PHOSPHORUS AND POTASSIUM IN THE SOIL OF LIME AND AVOCADO GROVES IN DADE COUNTY

EFFECTIVE AGRICULTURE TO PROSPER HUMANITY

Fertilization of Perennial Tree Crops: Timing is everything!

27-28 de Septiembre de 2006

The Effect of Phosphorus Fertilizer Rate and Application Time on Rice Growth and Yield

Improved Fertilizer use Efficiency with Controlled Release Sources on Sandy Soils in South Florida. FDACS Contract

Importance of Leaf Retention to Rooting of Avocado Cuttings 1,2

RESULTS OBTAINED BY PRUNING OVERCROWDED AVOCADO ORCHARDS

Nitrogen Fertilization of Sugar Beets In the Woodland Area of California 1

Optimum Nitrogen Fertilization of Summer Cabbage in Ontario

Managing Pistachio Nutrition. Patrick Brown Muhammad Ismail Siddiqui

An Overview of the Avocado Industry in South Africa As requested by: Development Bank of Southern Africa

The Avocado Breeding and Selection Program at CICTAMEX

MINERAL COMPOSITION OF FLORIDA MANGO LEAVES

Morphogenesis of Avocado in Vitro. A Review

The Application of Petiole Analyses to Sugar Beet Fertilization

International Journal of Science, Environment and Technology, Vol. 6, No 3, 2017,

Title: Nutrient Use Efficiency Assessments of Recently Released Strawberry Cultivars in Both Field and High-tunnel Production Report, Research

Comments about crop coefficients for Hass Avocado on Mexican. Seedling Rootstocks. January 10, J.D. Oster and M.L. Arpaia

Effects of Mulches on Trees Jim Downer and Ben Faber University of California Cooperative Extension 669 County Square Dr.

Yield Adjustment by Canola Under Different Plant Populations in the Semiarid Prairie

Management of Clubroot of Asian Brassica Crops Grown on Organic Soils

Objective: To examine the validity of petiole sap nitrate analysis as a guide to nitrogen application in North Queensland banana.

Effects of fluid nitrogen fertigation and rate on microsprinkler irrigated grapefruit

ECONOMIC TRENDS IN THE FLORIDA AVOCADO INDUSTRY

Development of Best Management Practices for Fertigation of Young Citrus Trees, 2003 Report

Avocado Production in South Africa

Soil health, fruit yield, quality and nutritional value of avocado as influenced by different mulch types

YIELD AND NUTRITIONAL ENHANCEMENT IN CUCUMBER

Effect of Plant Spacing on Yield and Fruit Characteristics of Okra (Abelmoschus esculentus)

Development of Best Management Practices for Fertigation of Young Citrus Tree

VI SUMMARY. and maize-sunflower sequential cropping systems

Two soil areas approximately 1 km (0.6 mile) apart were selected. Agronomy Department. High Rates of Urea Fertilizer for Corn (Zea mays L.

Irrigation and Fertilizer Management to Minimize Nitrate Leaching in Avocado Production

NITROGEN FERTILIZATION

Evaluate the possibility of alternate bearing regulation of Siahoo mandarin (Citrus reticulata Blanco) by using pruning and girdling

BACKGROUND INFORMATION AND RESEARCH PROBLEM

Genetic Variance Components and Heritabilities of Several Avocado Traits

Vegetarian Newsletter

Decomposition and Nutrient Release Patterns of the Green Manure Phytomass in Irrigated Mango Orchard

AVOIDING APPLE BUD DAMAGE FROM AUTUMN-APPLIED UREA FOR BLACK SPOT (VENTURIA INAEQUALIS) CONTROL

ECONOMICS OF USING DIFFERENT NITROGEN SOURCES AND MULCHING MATERIALS FOR PRODUCING FRESH MARKET GREENHOUSE CUCUMBERS IN KENYA.

AVOCADO IRRIGATION PRACTICAL OBSERVATIONS IN DETERMINING WATER NEED, IRRIGATION DESIGN AND FREQUENCY SCHEDULING

Effects of Indigenous Mulches on Growth and Yield of Tomato

Effect of different mulch materials, composts and organic treatments on tree condition and root health

PGR Strategies to Increase Yield of Hass Avocado

Avocado Decision Support Tools Now Available

Macronutrient Removal by Muskmelons Grown on Calcareous Soils

RESEARCH REPORT SUWANNEE VALLEY AREC 92-5 August, 1992 COMPARISON OF VARIOUS N SCHEDULING METHODS FOR SNAPBEANS

IRRIGATION VITH RECLAIMED MUNICIPAL VASTEVATER ROBERT C. J. KOO AND HONG! ZEKRI

NUTRIENT INDEXING OF GUAVA ORCHARDS IN HISAR DISTRICT OF HARYANA, INDIA

TRI-STATE FERTILIZER UPDATE

Effect of different levels of planting distance and fertilizers on growth, yield and quality of banana cv. Grand Naine

INFLUENCE OF FERTILIZER LEVELS ON GROWTH, YIELD AND ECONOMICS OF NUTMEG (MYRISTICA FRAGRANS HOUTT)

ECONOMIC TRENDS IN THE CALIFORNIA AVOCADO INDUSTRY

Using Nitrate-N Petiole Sap-Testing for Better Nitrogen Management in Vegetable Crops

FINANCIAL MODELLING: A LOGICAL MEANS OF EVALUATING TREE ESPACEMENT FOR AVOCADO ORCHARD DEVELOPMENTS

Gad Ish-Am, Dan Eisikowitch Tel Aviv University, Department of Botany, Tel Aviv 69978, Israel

Soybean Response to Phosphorus and Potassium Fertilization Rate on Silt Loam Soils

Response of Cucumber to Meister Controlled-Release Fertilizers George J. Hochmuth 1

VARIABLE RATE FERTILIZATION FOR CITRUS. A. F. Colaço, J. P. Molin

Using Less Fertilizer More Often Can Reduce Nitrate Leaching

Rice Response to the Time and Rate of Potassium Fertilization

(materials and methods 2.1 in their paper). According to Neumann et al. (1981) s

Tests to predict the potassium requirements of canola

IMPACT OF HURRICANE "ANDREW" ON TROPICAL FRUIT ACREAGE IN DADE COUNTY

PHOSPHORUS, POTASSIUM, AND MINOR ELEMENT FERTILIZATION

Citrus (Citrus spp., etc.)

AVOCADO GERMPLASM CONSERVATION AND IMPROVEMENT IN GHANA G. O. Nkansah*, K. G. Ofosu- Budu and A. W. Ayarna

Nitrogen, Phosphorus and Potassium Uptake Patterns of Fresh-Market Onion Production in Southern California

RESPONSE OF ONION, T. Aus AND T. Aman RICE TO NPKS FERTILIZERS IN THE HIGH GANGES RIVER FLOODPLAIN SOIL

FERTIGATION OF FLUID NITROGEN AND PHOSPHATE FERTILIZERS FOR PEARS IN PACIFIC NORTHWEST. Xinhua Yin, Clark F. Seavert, and Jinhe Bai

EFFECT OF TIME OF NITROGEN APPLICATION ON FRUIT SET AND YIELD OF GRAPEFRUIT

Mapping Nutrient Energy Embodiment in a Variable and Fixed Rate Fertilization in Orange

PERFORMANCES OF FRENCH BEAN AS INFLUENCED BY PLANT DENSITY AND NITROGEN APPLICATION. M. MONIRUZZAMAN 1, G. M. A. HALIM 2 AND Z. A.

Almond Early-Season Sampling and In-Season Nitrogen Application Maximizes Productivity, Minimizes Loss

Influence of organic manures with recommended inorganic fertilizers on yield of sweet orange (Bari malta 1)

Transcription:

Proc. of Second World Avocado Congress 1992 pp. 289-299 Optimal Leaf Analysis Norms for Avocado (cv. Fuerte) T.J. Koen and S.F. du Plessis Citrus and Subtropical Fruit Research Institute, Private Bag X11208,Nelspruit, 1200, Republic of South Africa. Abstract. The objective of this investigation was to determine a suitable leaf sample for analysis and fertilizer advisory purposes and to obtain optimal analysis norms for that sample. The leaf sample proposed by Koen and du Plessis (1991. S. A. Avocado Growers' Yrbk. 14:19-21), Fig. 1, conformed to all the requirements necessary for sampling purposes. Firstly, the concentration of elements in the leaves was constant from 6 to 8 months of the leaf's age. Secondly, the nutrient concentration of the sample was highly significantly affected by changes in the fertilizer applications and thirdly, nutrient concentration was also related to changes in yield. The sample was especially suitable for N, with an optimal level of 2.0 to 2.3% N. This analysis could be used for the same or subsequent season. In the case of P the leaf P concentration must be higher than 0.17% to ensure optimal yield in the next season. The relationship between leaf K and yield was relatively poor. Leaf analysis as a diagnostic tool for fertilizer advisory purposes is widely used on many subtropical crops throughout the world (Du Plessis, 1977; Gustafson, 1981; Lahav et al., 1990). Embleton and Jones (1966) proposed tentative leaf analysis norms for avocados based mainly on their own previous research and experience (Embleton et al., 1958; Embleton et al., 1959 and Embleton and Jones, 1964). They expressed their hope "...that presenting these tentative guides will encourage more critical research on leaf analysis standards for the avocado". However, very little improvement on these norms has been proposed up to the present, although several researchers have criticized the sample taken (Oppenheimer et al., 1961; Bergh, 1975 and Lahav et al.. 1976). Gustafson (1981) was still advocating the exact same sample and analysis norms for avocados in California as proposed some 1 5 years ago. Recently, Lahav et al. (1990) stressed the importance of sampling leaves from the spring flush only, but concluded that there was no basis to change the critical level of N in avocado leaves as proposed by Embleton and Jones (1966). This level was 1.6% N for 'Fuerte' and 1.8% N for 'Hass'. The purpose of this investigation was to evaluate the sample and norms proposed by Embleton and Jones (1966) under South African conditions and to obtain a more suitable sample, if necessary. This investigation was carried out over several seasons at the Burgershall and Friedenheim Experimental Stations near Nelspruit, Eastern Transvaal, South Africa.

Materials and Methods Comparing different leaf samples and establishing the time of sampling. This experiment was carried out on the Burgershall Research Station, 50 km north of Nelspruit. For this purpose 35 uniform, healthy, five year old 'Fuerte 1 trees on Edranol seedling rootstock were selected. Spring flush branches were marked in August and rootstock were selected. Spring flush branches were marked in August and 3 different leaves were sampled monthly from September throughout the season until harvest. The three samples (A, B and C) were differentiated as follows : A - sampled according to Embleton et al. (1958); this is spring cycle leaves, 5 to 7 months of age from non-fruiting and non-flushing terminals B - leaf at the position shown in Fig. 1 from a non-fruiting branch showing no new flush at the time of sampling C - the youngest leaf at the tip of a branch with new growth. This sample will always be less than two months old. Approximately 40 leaves were collected per sample per month and analyzed chemically. Establishing analysis norms. Three separate N, P and K fertilizer experiments with 8 levels of each element, 3 trees per plot and 3 replicates were laid out on 4-yr-old 'Fuerte' trees on Duke seedling rootstock at Friedenheim Experimental Station. Data from 1982 to 1987 are presented. At the start of the experiment the soil had a ph (water) of 6.15 with a very low P status of 1 mg P/kg soil (resin extractable P); and 60 mg exchangeable K/kg soil. The levels of applied fertilizers are shown in Table 1. In the case of the N-experiment the levels of N were increased from 1985. Leaf samples B, (Fig. 1) were taken at the beginning of March (6- to 8-month-old leaves). This sample was taken from the middle of the spring flush branches containing no new growth at the time of sampling (Koen and du Plessis, 1991). Results and Discussion Comparing three different leaf samples. The effect of leaf age on the N, P and K concentrations of the different samples are shown in Figs. 2, 3 and 4. As far as N is concerned (Fig. 2), it is obvious that sample B shows a very stable concentration range for 6- to 8-month-old leaves whereas both sample A and C vary considerably during this period. For phosphorus (Fig. 3), sample B is also constant for the 6 to 8 month period, whereas the other two are either increasing or decreasing in P concentration. In the case of potassium (Fig. 4), sample B is constant for the period 5 to 8 months, whereas A and C decrease from 6 to 8 months of age.

From these results, it is obvious that the Embleton et al. (1958) sample (A) shows too much variation during the 6-to 8-month-old period, to be suitable for analysis purposes. Sample B as proposed by Koen and Du Plessis (1991) is the most constant for N, P and K during that period. The youngest leaf (sample C) is definitely not suitable for this purpose. In order to verify the suitability of a particular leaf for analysis purposes the concentration of nutrients in that leaf should respond to changes in fertilization and should also be related to yield (Langenegger and Du Plessis, 1977). The usefulness of sample B was thus further investigated in three different fertilizer experiments. Sensitivity of the leaf sample to changes in fertilizer applications. The effect of increasing the application rates of N, P or K on the concentration of these elements in the leaves over four seasons is shown in Table 2. N-experiment: The leaf N concentrations were highly significantly increased in all 4 seasons shown by increased rates of nitrogen. P-experiment: Except for 1986, the leaf P concentrations were also highly significantly increased by the increased P application rates. K-experiment: As was the case in the N and P experiment, the increased application of K caused a highly significant increase in the K concentration of the leaves. These findings clearly demonstrated that by increasing fertilizer rates, the concentration of the corresponding element in the leaves was significantly increased. This was one of the prerequisites set by Langenegger and Du Plessis (1977) for a leaf sample to be suitable for analysis purposes. Relationship between leaf analysis and yield. Probably the most important characteristic of the ideal sample for the purpose of leaf analysis is that a change in the concentration of elements in the leaf should be reflected by a change in yield (Langenegger and Du Plessis, 1977). In Table 3, the effect of increasing levels of application of either N or P or K on yield is shown in the 3 different experiments. N-effect: N had the most marked effect on yield of the three elements tested in these experiments. In 1983, the increased levels of N applied had a linear effect on yield, whereas in 1985 and 1986, the effect was curvilinear reaching a maximum and declining again with higher N rates (this decline was not significant). In the 1987 season, a maximum yield of 73 kg fruit/tree was obtained at the N$ level, thereafter showing a slow but significant decline with higher N rates to a very low yield of 15.2 kg fruit/tree. P-effect: Only in the 1985 season did increased rates of P increase the yield significantly. Trends were noticeable in the other seasons but were not significant.

K-effect: A significant effect of K application on yield was only obtained in the 1983 season, thereafter no clear cut trends emerged. In order to establish possible relationships between the leaf analysis of a particular season and yield of that or the following season, regression analyses were done using 24 data samples per season (8 treatments with 3 replicates). These data are shown in Figs. 5 to 8. Leaf N and yield: A very highly significant relationship existed in all 4 seasons between leaf N concentration for that season and yield for the same season. In 3 of the 4 seasons, this relationship was improved upon by using leaf N data of the current season to predict the yield in the following season. These relationships were curvilinear in most cases. Leaf P and yield: From these data it is obvious that leaf P concentration in the current season only effects the next season's yield significantly. Leaf K and yield: A very poor relationship was shown between leaf K concentration and yield. Only for one season (1984) could the yield of the following season be predicted to a limited extent. Leaf analysis norms. From the graphs shown in Figs. 5 to 8, optimal concentration ranges were determined and tabulated in Table 4. In the case of nitrogen the average optimal concentration of 2.03 to 2.27 % can be used for either the yield of the sampling season or the yield of the following season. In the case of P, only the yield of the next season can be predicted. The adequate leaf P value seems to be higher than 0.17 % for two of the three seasons. In the case of potassium, only one season (1984/85) showed an acceptable relationship between leaf K and yield, with an optimal leaf K value of 0.93 to 1.41 % K. Conclusions The results of this investigation show that the 6- to 8-month-old leaf sample proposed by Koen and du Plessis (1991, Fig. 1) can be successfully used for fertilizer recommendations for 'Fuerte' avocados. This sample is especially suitable for nitrogen, but to a lesser extent also for phosphorus and potassium. In the case of phosphorus, the present season's analysis figures are only relevant to the next season's crop, whereas nitrogen is related to both the present and subsequent season's crop. For nitrogen the optimal (adequate) level ranges from 2.0 to 2.3 % N; for phosphorus, it should be higher than 0.17 % P; and for potassium between 0.9 and 1.4 % K. Literature cited Bergh, B.O. 1975. Avocado research in Israel. Calif. Avocado Soc. Yrbk. 58:103-126. Du Plessis, S.F. 1977. Soil analysis as a necessary complement to leaf analysis for fertilizer advisory purposes. Proc. Int. Soc. Citriculture 1:15-19.

Embleton, T.W. and W.W. Jones. 1964. Avocado nutrition in California. Proc. Fla. State Hort. Soc. 77:401-405. Embleton, T.W. and W.W. Jones. 1966. Avocado and mango nutrition. Chap. 2. In: N.F. Childers, (ed.) Nutrition of Fruit Crops: Tropical, subtropical, temperate trees and small fruits. Horticultural Publ., Rutgers - The State Univ., Rutgers, NJ. Embleton, T.W., W.W. Jones, and M.J. Garber. 1959. Curvilinear relationship between leaf nitrogen and yield of 'Fuerte' avocados. Proc. Amer. Soc. Hort. Sci. 74:378-382. Embleton, T.W., W.W. Jones, J.D. Kirkpatrick, and D. Gregory-Allen. 1958. Influence of sampling date, season and fertilization on macronutrients in 'Fuerte' avocado leaves. Proc. Amer. Soc. Hort. Sci. 72:309-320. Gustafson, C.D. 1981. Leaf analysis, a valuable tool when it comes to fertilization. Avocado Grower 8:14-16. Koen, T.J. and S.F. Du Plessis. 1991. The determination of the correct leaf sample and time of sampling of 'Fuerte' avocados for the purpose of fertilizer recommendations. S. A. Avocado Growers' Assn. Yrbk. 14:19-21. Lahav, E., Y. Bar, and D. Kalmar. 1990. Effect of nitrogenous fertilization on the annual variations in nutrients in avocado leaves. Comm. in Soil Sci. and Plant Anal. 21:1353-1365. Lahav, E., M. Bareket, and D. Zamet. 1976. Potassium fertilizer experiment with avocado trees on heavy soils. Calif. Avocado Soc. Yrbk. 60:181-186. Langenegger, W. and S.F. Du Plessis. 1977. The determination of the nutritional status of Dwarf Cavendish bananas in South Africa. Fruits. 32:711-724. Oppenheimer, C.H., A. Kadman, and F. Radziszewska. 1961. Some observations on the nutritional status of avocado trees in Israel. Calif. Avocado Soc. Yrbk. 45:81-85.

Table 1. Fertilizer levels applied z in the N, P and K fertilizer experiments (g/tree/annum). Experiment y Nutrient Level N N P K 1982-1984 1985-1987 1982-1987 1982-1987 0 0 0 0.0 0 1 112 126 31.5 144 2 224 252 63.0 288 3 334 378 94.5 432 4 448 504 126.0 576 5 560 630 157.5 720 6 672 756 189.0 864 7 784 882 220.5 1008 z Time of application July: 1/3 N + 1/3 K; December: 1/3 N + 1/3 K + 1 P ; April: 1/3 N + 1/3 K. y N experiment received the P 3 and K 3 level; P-experiment received the N 3 and K 3 level; K experiment received the N 3 and P 3 level. Table 2. Effect of increasing the level of application of N, P or K on the concentration of these elements (%) in the B leaf over 4 seasons. Nutrient N-experiment (%N) P-experiment (%P) K-experiment (%K) Level 1984 1985 1986 1987 1984 1985 1986 1987 1984 1985 1986 1987 0 1.76 1.71 1.65 1.69 0.125 0.114 0.102 0.116 0.76 0.87 0.98 1.07 1 1.81 1.64 1.47 1.66 0.144 0.121 0.097 0.132 0.99 1.09 1.18 1.19 2 1.92 1.89 1.85 1.94 0.144 0.134 0.124 0.139 1.39 1.27 1.15 1.33 3 2.15 1.99 1.81 2.03 0.133 0.128 0.121 0.143 1.59 1.48 1.38 1.50 4 2.08 1.98 1.87 2.27 0.146 0.138 0.130 0.159 1.67 1.52 1.36 1.57 5 2.19 2.10 2.01 2.31 0.150 0.134 0.118 0.153 1.82 1.58 1.33 1.60 6 2.23 2.30 2.36 2.32 0.150 0.152 0.154 0.157 1.88 1.70 1.51 1.59 7 2.36 2.32 2.27 2.54 0.157 0.152 0.148 0.160 1.76 1.66 1.55 1.62 LSD P<0.05 0.25 0.23 0.38 0.28 0.013 0.019 0.034 0.016 0.35 0.21 0.25 0.17 P<0.01 0.35 0.32 0.53 0.39 0.018 0.026-0.022 0.48 0.29 0.35 0.24

Table 3 - Effect of increasing the level of application of N, P or K on yield (kg/tree) over 4 seasons. Nutrient N-experiment (%N) P-experiment (%P) K-experiment (%K) Level 1984 1985 1986 1987 1984 1985 1986 1987 1984 1985 1986 1987 0 0.5 2.6 0.4 9.8 4.2 28.2 13.5 51.9 2.1 39.3 21.9 42.0 1 1.0 7.5 2.7 33.9 3.9 40.9 25.3 45.3 2.2 22.1 16.3 32.1 2 3.6 21.4 14.2 51.2 4.8 40.8 28.6 50.9 4.0 37.9 31.9 56.9 3 4.9 42.7 25.9 73.0 2.9 39.8 30.9 58.9 8.1 34.1 19.4 45.5 4 8.7 32.5 20.2 52.6 2.7 39.3 26.3 62.2 2.1 24.0 18.9 31.3 5 10.5 39.5 27.9 47.0 5.3 45.6 27.6 60.3 6.7 40.9 33.2 55.2 6 18.6 40.5 17.2 39.2 7.5 50.5 30.2 63.4 2.2 36.2 31.1 43.7 7 22.3 35.8 19.0 15.2 9.4 60.7 29.9 67.6 2.4 33.7 28.2 38.1 LSD P<0.05 8.5 16.6 14.2 23.9-17.9 - - 3.5 - - - P<0.01 11.8 23.1 19.7 33.2 - - - - 4.8 - - -

Fig. 1. Position B indicates the leaf to be sampled from non-fruiting branches which are not showing signs of new flush.

Fig. 2 The effect of leaf age on the N concentration of avocado leaves.

Fig. 3 The effect of leaf age on the P concentration of avocado leaves.

Fig. 4 The effect of leaf age on the K concentration of avocado leaves.

Fig. 5 Relationship between leaf N (x) of a particular season and yield (kg/tree) (y) of the same season. (1983, R 2 =0.69, y = -58.15 + 34.03x; 1985, R 2 =0.73, y = 1894.77-31 17.1 8x + 1676.51 x 2-291.85x 3 ; 1986, R 2 =0.51, y = -399.31 + 393.89x -91.64x 2 ; 1987, R 2 = 0.71, y = -530.18 + 564.24x - 135.78x 2 ).

Fig. 6 Relationship between leaf N (x) of a particular season and yield (kg/tree) (y) of the next season. (1984/1985, R 2 =0.83, y = 4360.97-6914.69x + 3602.46x 2-613.98x3; 1985/1986, R 2 =0.70, y = 945.91-1607.1 3x + 890.32x2. 159.29 X 3; 1986/1987, R 2 =0.58, y = -472.51 + 510.56x - 124.49x 2 ).

Fig. 7 Relationship between leaf P (x) of a particular season and yield (kg/tree) (y) obtained the following season. (1984/1985, R 2 =0.62, y = 271.72-3869.3x + 15863.41x 2 ; 1985/1986, R 2 =0.26, y = -157.34 + 2468.67x - 8107.85x 2 ; 1986/1987, R 2 =0.43, y = 13.66 + 362.68x).

Fig. 8 Relationship between leaf K (x) in the 1984 season and yield (kg/tree) (y) obtained in the 1985 season. (R 2 =0.25, y = -86.211 + 271.82x - 185.15x 2 + 39.46x 3 ).