Nutritional diagnosis of soursop according to the Kenworthy balance index and deviation from optimum percentage, Nayarit, Mexico

 

Juan Diego García-Paredes1; Eliana Andrea Martínez-Mera2*; Álvaro Can-Chulim 1;

Gregorio Luna-Esquivel1; Elia Cruz-Crespo1; Rosendo Balois-Morales3

 

1 Unidad Académica de Agricultura, Universidad Autónoma de Nayarit. Carretera Tepic-Compostela km 9. CP. 63780. Xalisco, Nayarit, México.

2  Ciencias Agropecuarias, Universidad Tecnológica de la Costa, Carretera Santiago entronque internacional no. 15 km 5. CP. 63300. Santiago Ixcuintla, Nayarit, México.

3  Secretaria de Investigación y Posgrado-Unidad de Tecnología de Alimentos. Universidad Autónoma de Nayarit. Ciudad de la Cultura Amado Nervo. CP. 63000. Tepic, Nayarit. México.

 

ORCID de los autores

J.D. García-Paredes: https://orcid.org/0000-0002-2604-228X  E.A. Martínez-Mera: https://orcid.org/0000-0003-2094-8061

Á. Can-Chulim: https://orcid.org/0000-0002-4063-7597  G. Luna-Esquivel: https://orcid.org/0000-0003-4716-0805

E. Cruz-Crespo: https://orcid.org/0000-0001-6777-4316  R. Balois-Morales: https://orcid.org/0000-0002-4835-5631

 

 

 

RESUMEN

 

La guanábana es una fruta tropical de importancia económica en México, sin embargo, existen escasas investigaciones sobre su nutrición. El objetivo de este estudio fue evaluar la concentración de nutrientes foliares en estado vegetativo y comparar el diagnóstico nutricional entre el Índice de Balance de Kenworthy (KBI) y la Desviación del Porcentaje Óptimo (DOP) en el cultivo de guanábana. La concentración foliar de N, P, K, Ca, Mg, Mn y B presentó valores inferiores al estándar de referencia. Se encontró concordancia entre los índices KBI y DOP para el diagnóstico en el 91% de los huertos; los nutrientes N, P, K, Ca, Mn y B fueron deficientes en todos los huertos y excesivos Cu (en el 33% de los huertos), Fe y Zn (en el 8% de los huertos, respectivamente). Sin embargo, el diagnóstico de Mg, Fe, Cu y Zn en algunos huertos fue contradictorio debido a que existen rangos adecuados con el KBI y deficientes con el DOP. En general, con los dos índices el 25% de los huertos coinciden con el orden decreciente de los nutrientes P<K<Ca<N<Mg<Mn<B <Zn<Fe<Cu. Aunque hubo algunas similitudes y diferencias en el diagnóstico nutricional entre KBI y DOP, se deben cubrir las necesidades nutricionales específicas de cada huerto de guanábana.

 

Palabras clave: Annona muricata; análisis foliar, macronutrientes; micronutrientes; requerimiento nutricional.

 

 

ABSTRACT

 

Soursop is a tropical fruit of economic importance in Mexico, however, there is scarce research on its nutrition. The aim of this study was to evaluate the foliar nutrient concentration in the vegetative state and to compare the nutritional diagnosis between the Kenworthy Balance Index (KBI) and Deviation from Optimum Percentage (DOP) in the soursop crop. The foliar concentration of N, P, K, Ca, Mg, Mn and B presented lower values than the reference standard. It was found concordance between KBI and DOP indices for the diagnosis in 91% of the orchards; the nutrients N, P, K, Ca, Mn and B were deficient in all orchards and excessive Cu (in 33% of the orchards), Fe and Zn (in 8% of the orchards respectively). However, the diagnosis of Mg, Fe, Cu and Zn in some orchards was contradictory due their adequate ranges with the KBI and deficient with the DOP. In general, with the two indices 25% of the orchards coincide with the decreasing order of the nutrients P<K<Ca<N<Mg<Mn<B<Zn<Fe<Cu. Although there were some similarities and differences in the nutritional diagnosis among KBI and DOP, the specific nutritional needs of each soursop orchard must be supply.

 

Keywords: Annona muricata; foliar analysis; macronutrients; micronutrients; nutritional requirement.

 

 


1. Introduction

Mexico is the main producer of soursop (Annona muricata L.) worldwide with 3.612 hectare planted for the year 2019; Nayarit represents 68% of the cultivated area (2.456 ha), becoming a fruit tree of economic importance, the average price per ton was 8.400 Mexican pesos, so the production value for this crop was 195.153 Mexican pesos (SIAP, 2023).

Fruit tree nutrition is responsible for various functions in plants; energy processes, enzymatic activation and osmotic regulation of membranes (Vasconcelos-Botelho & Lopes-Müller, 2020), therefore, to guarantee optimal nutrition it is necessary to know the nutrient levels of the crop, these can be determined by nutritional diagnosis. The interpretation of the results of the foliar analyzes allows diagnosing the nutritional level and evaluating the availability of reserves or existing imbalances in the fruit tree (Rodríguez-Polanco et al., 2018). The nutrient content can be interpreted from the foliar analysis with a scientific basis through indices, different methods have been proposed; the Kenworthy Balance Index (KBI) normalizes the concentration of nutrients sampled in a particular state of the plant, based on a reference standard value and the coefficient of variation (Kenworthy, 1961). Another index used to interpret the nutritional values is the Deviation from the Optimum Percentage (DOP) index, defined as the percentage deviation of the concentration of an element with respect to the reference standard value (Montañés et al., 1991). These diagnostic methods address the aspect of nutritional balance by analyzing each nutrient in isolation from the others, giving an idea of the balance between what was absorbed and what the plant needs, based on the values obtained, the needs and excesses of nutrients are determined, as well as the type of fertilization to apply (Kenworthy, 1961; Montañés et al., 1991).

According to the reviewed literature, there is little information available on the optimal nutritional values of the soursop crop at a specific phenological moment, the studies carried out by Avilán (1975), Gazel-Filho et al. (1994) and Fernández-Batista et al. (2003) provide macronutrient reference values in juvenile plants (up to 1 year old); Yamarte-Chirinos et al. (2009) evaluated macronutrients (N, K, Ca, Mg and Na) in grafted and free-standing plants; Silva de Lima et al. (2007) studied macro and micronutrients (with the exception of N and B) in 2.5-year-old plants; Marques et al. (2018) report the concen-tration of macro and micronutrients in the reproductive stage of the plant. For this study, it is considered that Andrade (2004) provides the most complete and indicative information on nutritional standards in soursop, these correspond to minimum and maximum concentrations, regard-less of the variety or cultivar.

Nutrition studies in fruit trees vary, as different indices have been used. IBK has been used in cocoa (Theobroma cacao) (Bahia et al., 2021) and avocado (Persea americana cv. Hass) (Maldonado-Torres et al., 2007). DOP has been used in guava (Psidium guajava) (Nava et al., 2006), avocado (Persea americana cv. Hass) (Sotelo-Nava et al., 2017) and tahiti acid lime (Citrus latifolia) (Rodríguez-Polanco et al., 2018). Although it is infrequent to find studies where comparisons were made with the KBI and DOP indices, these have been carried out in coffee cultivation (Coffea sp.) associated with tree species, the two diagnostic indices coincided in 70% with deficient or low nutrients; N, K, Ca and B in the four agroforestry systems, high P and low Fe in three systems, low Zn in two systems, low Mg and Mn in one system, and high Cu and Mn in one agroforestry system (Garza-Lau et al., 2020).

Taking into account that the diagnosis establishes alterations and/or balances or predicts future nutrient limitations in the crops, the objective of this study was to evaluate the foliar nutrient concentration in the vegetative state and compare the nutritional diagnosis between KBI and DOP in the crop of soursop.

 

2. Methodology

Study zone

The municipality of Compostela is located on the southern coast of the state of Nayarit (21º 22' to 20º 52' north latitude and 104º 49' to 105º 22' west longitude). The climate is semi-warm (Köppen's Aw2) with an average annual temperature of 22.9°C and relative humidity of 79% on average. The average annual precipitation is 1.140 mm with seasonal rain between the months of July to October (301 mm of average monthly precipitation) (CONAGUA, 2023).

The predominant crop is soursop under rainfed conditions, on average the pH of the soils is moderately acid (5.7), high organic matter content (6.8%), medium texture (sandy clay loam and clay loam) and low cation exchange capacity (10.6 Cmol+kg-1). The N content is high (57.4 mg kg-1) and medium content of P (23 mg kg-1), K (23.1 mg kg-1), Ca (103 mg kg-1) and Mg (35.1 mg kg-1). Regarding micronutrients, very high content of B (4.97 mg kg-1), high Mn (31.8 mg kg-1), moderately low Fe (8.66 mg kg-1) and Zn (0.98 mg kg-1) and, low Cu (0.40 mg kg-1) (Martínez-Mera et al., 2023).

 

Nutritional diagnosis

In the month of March 2019, in the municipality of Compostela, 12 orchards were sampled in the vegetative stage with ages between 15 and 33 years, seven trees were randomly chosen for each hectare of surface area (Martínez-Mera et al., 2023), from the middle part of the tree crown (approximately 1.8 m high), in each of the four cardinal points a branch was chosen and complete leaves (without damage, mature and physiologically active) were taken from the third and fourth position. The samples were stored in paper bags and kept cold (5±2 °C). Subsequently, in the soil analysis laboratory of the Autonomous University of Nayarit, the leaves were washed with distilled water and dried in an oven at 70 °C until reaching constant weight. Finally, they were processed in a stainless-steel mill (General Electric 5XBG015D®), with 40 mesh (0.45 mm opening between threads) (Silva de Lima et al., 2007; Yamarte-Chirinos et al., 2009).

Sample analyzes were performed in triplicate. Wet digestion was performed with mixed acids (sulfuric:perchloric); the extract obtained was measured with deionized water to analyze macronutrients, N by Kjeldahl; P by the vanadate-molybdate yellow method; K by flame emission spectrophotometry (Cole Parker 360®); Ca, Mg and micronutrients (Cu, Zn, Fe and Mn) with atomic absorption spectrophotometry (Agilent 240FS AA®) and B by the Azometina-H method (Alcántar-Gónzalez & Sandoval-Villa, 1999). The foliar analyzes were interpreted with the equations of the KBI and DOP to compare the nutrient concentration with the reference standard value proposed.

 

Kenworthy Balance Index (Kenworthy, 1961)

If C is less than the reference standard value:

P = (C/(Cref))*100 

I = (100-P)*(CV/100)

IBK = P + I     (1)

If C is greater than the reference standard value:

P = (C/(C ref))*100

I = (P-100)*(CV/100)

IBK = P - I     (2)

Where C: foliar concentration of the sample; Cref: standard reference value; I: influence of the variation; P: percentage of the standard; CV: coefficient of variation of each nutrient; KBI: Kenworthy balance index.

Nutrient concentrations were adjusted by the coefficient of variation obtained from the data. The KBI of each nutrient were interpreted considering the analytical values according to their concentrations and were classified as: deficient (17-49%), low (50-82%), adequate (83-116%), high (117 -150%) and excessive (151-183%) (Kenworthy, 1961).

 

Deviation from optimum percentage (Montañés et al., 1991)

DOP = (C x 100)/(Cref)-100

Where C: foliar concentration of the sample; Cref: standard reference value.

Negative DOP values for a certain element indicate a deficit, positive values reflect an excess of the element and when the index is zero the nutrient is in an optimal concentration (Montañés et al., 1991).

Due to the difference in the categorization of the ranges, to make the comparison between the KBI and the DOP indices, it was considered that the low range of the KBI would be categorized as deficient. Additionally, to calculate the indices, the average of the reference standard values proposed by Andrade (2004) was used (Table 1).

 

Table 1

Standard values used in the calculation of the KBI and DOP for soursop crop in the municipality of Compostela, Nayarit (Andrade, 2004)

 

Nutrient

Standard

Average

Nitrogen (%)

Phosphorus (%)

Potassium (%)

Calcium (%)

Magnesium (%)

Copper (mg kg-1)

Iron (mg kg-1)

Manganese (mg kg-1)

Zinc (mg kg-1)

Boron (mg kg-1)

1.7-2.8

0.1-0.9

1.8-2.6

1.2-1.8

0.2-0.4

100

100

130

16

41-49

2.25

0.5

2.2

1.5

0.3

100

100

130

16

45

 

3. Results and discussion

Nutritional diagnosis

The nutritional diagnosis results to determine the KBI and DOP come from a previously developed investigation where a nutritional characterization of the orchard was carried out (Martínez-Mera et al., 2023). The nutritional status of the soursop crop for the 12 orchards presented similarity in the macronutrients; the foliar nutrient concentration of N, P, K, Ca and Mg was lower than the reference standard in 100% of the orchards, with the exception of orchard 3; in which the Mg content was equal to the reference standard. The coeffi-cient of variation (CV%) was low for N (6.65%), K (4.42%), Ca (9.46%) and Mg (6.70%). Regarding the variation in the nutritional concentration of P (13.2%), it was acceptable found in the range of 10% to 33% (Table 2).

The nutritional status of the soursop crop for the 12 orchards presented similarity in the micronutrients Mn and B since the foliar nutrient concentration was lower than the reference standard in 100 % of the orchards. However, Cu obtained values higher than the reference standard in 91 % of the orchards, with the exception of orchards 6 and 10. The micronutrients Fe, Cu and Zn showed variability in the nutrient concentration; orchards 2, 4, 6, 9 and 10 exhibited lower values than the reference standard for Fe and Zn; contrary to this, orchards 3, 7 and 11 showed values higher than the reference standard of Fe and Zn. The CV was low for Fe (5.51%) and Mn (2.27%). Unlike the variation in the nutritional concentration of Cu (10.5%), Zn (15.1%) and B (23.3%), which was acceptable since it was found in the range of 10 to 33% (Table 3).

The foliar macro and micronutrients that were deficient did not manifest visual symptoms, which are possibly associated with hidden hunger, generating a nutritional imbalance that does not reach the level to generate the manifestation of the characteristic symptoms according to the deficient nutrient (Hajiboland, 2011). Although it can also be associated with the phenological moment of the fruit tree; perennial crops are nutritionally efficient, nutrient reserves and their subsequent translocation are influenced by the phenological stage that guarantee the nutritional balance of plant tissues (Vasconcelos-Botelho & Lopes-Müller, 2020; Gentile et al., 2022).


 

Table 2

Foliar macronutrient content (%) of the soursop crop in the municipality of Compostela, Nayarit

 

Orchard

N

P

K

Ca

Mg

% ± SD

1

1.26±0.13

0.006±0.001

0.38±0.01

0.43±0.02

0.23±0.05

2

1.19±0.05

0.011±0.002

0.16±0.01

0.29±0.03

0.24±0.02

3

1.17±0.11

0.008±0.002

0.17±0.001

0.44±0.01

0.30±0.01

4

1.41±0.10

0.015±0.001

0.17±0.001

0.35±0.01

0.22±0.01

5

0.90±0.03

0.016±0.001

0.17±0.001

0.52±0.01

0.26±0.01

6

0.91±0.11

0.019±0.003

0.17±0.001

0.47±0.01

0.24±0.01

7

1.39±0.06

0.008±0.002

0.23±0.008

0.53±0.13

0.20±0.01

8

1.13±0.10

0.006±0.002

0.28±0.001

0.44±0.07

0.16±0.01

9

1.23±0.04

0.003±0.001

0.24±0.001

0.43±0.04

0.18±0.02

10

1.07±0.05

0.003±0.001

0.18±0.001

0.49±0.03

0.16±0.02

11

0.92±0.02

0.006±0.001

0.15±0.01

0.16±0.02

0.13±0.01

12

1.08±0.06

0.006±0.001

0.16±0.001

0.35±0.02

0.21±0.01

CV(%)

6.65

13.2

4.42

9.46

6.70

CV: Coefficient of Variation; S.D: Standard deviation.

Table 3

Foliar micronutrient content (mg kg-1) of the soursop crop in the municipality of Compostela, Nayarit

 

Orchard

Cu

Fe

Mn

Zn

B

mg kg-1 ± SD

1

15.4±0.43

109±0.77

24.0±0.48

11.5±0.29

10.1±0.35

2

11.3±0.79

85.2±0.71

48.3±0.25

12.0±0.24

0

3

12.2±0.46

169±3.60

34.8±0.28

19.1±0.22

1.24±0.35

4

11.8±0.25

63.4±0.64

26.0±0.12

13.4±1.19

0

5

19.2±4.40

56.9±0.43

24.3±0.18

26.1±0.29

0

6

8.94±0.29

65.7±0.11

32.2±0.11

10.7±0.23

0

7

15.1±0.18

108±11.1

36.9±2.11

20.9±0.36

6.20±1.05

8

18.7±0.32

98.0±15.9

47.3±0.46

19.9±0.56

0

9

17.0±0.27

88.6±1.84

47.9±2.58

13.7±0.23

0

10

6.40±0.17

96.9±0.34

17.3±0.80

12.3±0.84

0

11

16.5±0.26

100±1.34

30.5±1.18

19.6±0.87

8.68±0.75

12

13.3±0.18

118±1.79

23.1±0.67

14.4±018

2.48±0.70

CV(%)

10.5

5.51

2.27

15.1

23.3

CV: Coefficient of Variation; S.D: Standard deviation.

 


On the other hand, the excess of Cu, Fe and Zn in some orchards can be related to foliar fertilization of micronutrients or applications of agrochemicals to control pathogens; high foliar concentrations can generate toxicity and alter metabolism, reduce growth and biomass production, in addition to the accumulation of metals (Kalaivanan & Ganeshamurthy, 2016).

Soil fertility is a determining factor in the availability of nutrients for plants. In cacao (Theobroma cacao), it has been reported that the high variability of the nutrient content of the leaves may be a consequence of the diversity of climatic and edaphic conditions with soils with wide variability of mineralogical, chemical and physical attributes (Arévalo-Hernández et al., 2019). Although there is a methodological limitation to determine the direct influence between soil fertility and nutrient remobilization, there are studies that have reported a positive correlation between these two factors. Other studies contradict this correlation, and it is possibly related to the fact that plants can restrict the availability of nutrient concentrations because the remobilization of nutrients in the leaf is a metabolic process regulated by environmental factors and physiological processes. Therefore, the main factor affecting the remobilization rate is the element itself (Achat et al., 2018). In accordance with the concentration of nutrients in the soil and foliar, in this study a positive correlation was not observed between them, since the nutrients N (57.4 mg kg-1), Mn (31.8 mg kg-1) and B (4.97 mg kg-1), with high concentration in the soil, showed lower values (1.14 %N, 32.7 mg kg-1 Mn and 2.39 mg kg-1 B) than the foliar reference standards (1.7-2.8% N, 130 mg kg-1 Mn and 41-49 mg kg-1 B). There is few research on nutritional diagnosis of soursop that includes macro and micronutrients. In Colombia, Miranda-Lasprilla et al. (1996) evaluated the foliar concentration of five orchards, on average were reported 1.38% N, 0.18% P, 0.54% K, 3.04% Ca, 0.34% Mg, 7.62 mg kg-1 Cu, 81 mg kg-1 Fe, 40.8 mg kg-1 Mn, 35.4 mg kg-1, Zn and 23.9 mg kg-1 B. Although the characteristics of the tree, phenology, sampling season and type of management are not reported, the foliar nutrient content shows values lower than the standards of N, P, K, Cu, Fe, Mn and B in 100% of the orchards, for Ca and Mg 60% of the orchards exhibit values higher than the standard and for the Zn, 100% of the orchard’s present values higher than the standard. Similarly, in Mexico (Veracruz) Vidal-Hernández et al. (2014) diagnosed soursop crop in vegetative phenology in the dry season, the nutritional concentration was 2.53% N, 0.04% P, 3.05% K, 0.98% Ca, 0.15% Mg, 7.1 mg kg-1 Cu, 135 mg kg-1 Fe, 9.3 mg kg-1 Mn and 481 mg kg-1 Zn. Thus, the foliar nutrient content shows values higher than the standard for N, K, Fe and Zn. On the contrary, values below the standard are observed for Ca, Mg, Cu and Mn in the orchards of Mexico.

Fruit trees absorb nutrients throughout the year, however, variations in nutrient content are associated with edaphoclimatic aspects, plant age, yield, cultivar, genotype, and cultural practices (Silva de Lima et al., 2007). Regarding the temporary condition, it influences the absorption and transport of nutrients; The low availability of water in the soil combined with high temperatures reduce the absorption of nutrients, which can cause deficiency or imbalance of these and affect the distribution of photoassimilates, with consequence in physiological processes related to the formation of stems, roots, flowers and fruits (Aluko et al., 2021). Vidal-Hernandez et al. (2014) in soursop crop in Veracruz found differences in the foliar nutrient concentration between productive and non-productive trees during the dry season; this period includes six months with average monthly precipitation of 28.1 mm and the highest leaf content prevailed in non-productive trees. Unlike the study area in Nayarit, the dry period is eight months with 14.9 mm of average monthly precipitation, a situation that could influence the presence of deficiencies and probably explains the low leaf values.

Zhou & Melgar (2020) consider that nutrient reab-sorption and remobilization become quantitatively more significant for older trees because they translocate more nutrients to permanent structures during leaf senescence, suggesting that they can recycle nutrients from more efficient way. However, this hypothesis needs to be confirmed by reuptake studies using labeled elements. The same way, orchard specific information should also be considered, such as the nutritional status of the trees from the previous year, annual yield, pruning intensity, as these differences can affect orchard productivity. In the case of soursop studies, crops have been developed in different regions, a possible cause that generates differences in nutritional ranges and due to the lack of agronomic information, it is difficult to determine the factors that influence these differences in nutritional diagnosis.

 

KBI and DOP indices

The nutritional diagnosis obtained showed exce-sses and deficiencies of nutrients. In general, the behavior of the limiting nutrients with the KBI and DOP diagnostic indices was the same for macro and micronutrients in 90% of the orchards. On the contrary, the differences between the indices occurred in 10% of the orchards; with the KBI the nutrient was adequate and with the DOP the nutrient was deficient. Only the nutrients Mg, Cu, Fe and Zn were adequate with the KBI in 35% of the orchards. The KBI and the DOP indicated that the diagnosis of the nutrients N, P, K, Ca, Mn and B, were the same because 100% of the orchards presented ranges of deficiency. On the contrary, the KBI and the DOP were excessive for the micronutrients Fe, Cu and Zn; in orchards 8, 9 and 11 with the Cu micronutrient, in orchard 5 with the Cu and Zn micronutrients and, in orchard 3 with Fe. The contrast cases where the KBI of the nutrient was adequate and with the DOP the nutrient was deficient were presented for orchards 1 and 5 with Mg; orchard 2 with Mg and Fe; orchards 4, 8 and 10 with Fe; orchard 6 with Mg and Cu, orchard 9 with Fe and Zn and orchard 12 with Fe (Table 4). Metabolic functions and crop yields can be affected by nutrient interactions in the uptake, distribution, or function of another nutrient. Therefore, the balan-ced nutrient approach is important for proper crop yield (Tiwari et al., 2020). In this study, the deficiency levels, although they were high, did not generate the manifestation of the characteristic symptoms according to the deficient nutrient since the difference with the standard nutrient concen-tration could be related to the phenological stage of the fruit tree and the amount of the nutrient is suitable for its function.


 

Table 4

Nutritional diagnosis of the soursop crop using the KBI and DOP indices in the municipality of Compostela, Nayarit

 

Indices

N

P

K

Ca

Mg

Cu

Fe

Mn

Zn

B

Orchard 1

KBI

59

14

21

36

85

149

109

20

77

41

DOP

-44

-99

-83

-71

-21

55

9

-81

-28

-77

Orchard 2

KBI

56

15

11

28

86

112

86

39

79

23

DOP

-47

-98

-93

-80

-19

14

-15

-63

-25

-100

Orchard 3

KBI

55

15

12

37

108

120

165

28

121

25

DOP

-48

-98

-92

-71

2

23

69

-73

25

-97

Orchard 4

KBI

66

16

12

31

80

116

75

22

86

23

DOP

-37

-97

-92

-77

-27

18

-27

-80

-16

-100

Orchard 5

KBI

47

16

12

24

93

183

59

21

154

23

DOP

-56

-97

-92

-65

-13

93

-43

-81

63

-100

Orchard 6

KBI

45

17

12

39

87

91

68

26

72

23

DOP

-59

-96

-92

-68

-19

-11

-34

-75

-33

-100

Orchard 7

KBI

65

15

15

43

74

146

108

30

126

34

DOP

-38

-98

-89

-64

-32

51

8

-72

31

-86

Orchard 8

KBI

54

14

17

37

60

179

98

38

121

23

DOP

-50

-99

-87

-70

-46

88

-2

-64

24

-100

Orchard 9

KBI

58

14

15

37

69

163

89

38

88

23

DOP

-45

-99

-89

-71

-37

71

-11

-63

-14

-100

Orchard 10

KBI

51

14

12

40

61

68

97

15

81

23

DOP

-52

-99

-92

-67

-45

-36

-3

-87

-23

-100

Orchard 11

KBI

45

14

11

20

50

159

101

25

119

38

DOP

-59

-99

-93

-89

-56

66

1

-76

23

-81

Orchard 12

KBI

52

14

12

32

79

130

117

20

92

28

DOP

-52

-99

-93

-76

-27

33

18

-82

-10

-94

 

KBI: Kenwhorthy Balance Index; DOP: Deviation from Optimum Percentage.

 


Also, it should be considered that the anonas present overlapping phenophases where the vegetative and reproductive phases occur at the same time, these two simultaneous phenological processes generate competition between nutrients, physiologically there is a feedback control between the top and the roots to maintain balance, generating variation in the nutrient concentration (Paull & Duarte, 2012).

 

There are different indices to diagnose crops, in general the results obtained from the foliar sample are compared with another called reference pattern or reference standard value (Puentes-Páramo et al., 2016). The diagnoses using the KBI where coffee (Souza da Fonseca et al., 2018), avocado (Campos-Mariscal et al., 2020) and, diagnoses using DOP in hazelnut cultivation (Ajili-Lahiji, 2021) and mango (Yacomelo-Hernández et al., 2021), have proven to be effective in determining the nutritional status of plants, indicating the nutrient imbalances of the studied commercial orchards and proposing the order of nutritional requirements that serve as a guide to improve the nutritional status of the fruit tree in areas with similar edaphoclimatic conditions. In this study, the use of KBI and DOP evidence the nutritional status of the soursop crop, demonstrating that the nutrients N, P, K, Ca, B and Mn are the most limiting due to deficiency (in 100% of the orchards) and, by excess Cu (in 33% of the orchards), Fe and Zn (in 8% of the orchards respectively).

 

Although the same behavior was not presented in the decreasing order of the limiting nutrients, it is possible to consider a common deficiency pattern mainly with P, K, Mn and B. In general, with the two indices, 25% of the orchards coincide with the order decreasing the nutrients P<K<Ca<N<Mg<Mn<B< Zn<Fe<Cu (Table 5).

The nutritional diagnosis is an appropriate tool to know the nutritional limitations of the crop and determine the optimal concentration of nutrients in a phenological state of the crop, to obtain higher yields (Puentes-Páramo et al., 2016). Nutrient deficiency affects the physiological, biochemical and metabolic functions of plants. Tiwari et al. (2020) and De Bang et al. (2021) mention that N deficiency reduces the synthesis of biomolecules and photosynthetic activity, therefore, growth decreases; P deficiency affects regulation of protein synthesis, cell division, and root development; K deficiency limits osmotic regulation, stomatal opening, protein and starch synthesis; Ca deficiency impairs the structure of the cell wall reducing growth and; Mg deficiency affects activity as a cofactor, chlorophyll biosynthesis, and RuBisCo activation. Micronutrients participate as constituents of prosthetic groups in metalloproteins and activators of enzymatic reactions; Mn defi-ciency interferes with the regulation of protein, carbohydrate, lipid, and lignin biosynthesis; B deficiency hinders pollen germination, pollen tube growth, seed formation, and cell wall formation; Zn deficiency affects the structural composition of enzymes and proteins; Fe deficiency decreases the catalytic activity of chlorophyll synthesis and the formation of chelates and; Cu deficiency affects the formation of chlorophyll, regulation of cell metabo-lism and the structural composition of enzymes (Tiwari et al., 2020). The limiting nutrients, in addition to the phenological effect, can cause the interactions between them to be antagonistic due to excess or deficiency, in this way the absorption of another element could be reduced, inducing deficiency, therefore, this situation will not favor the adequate development of the crop, since the optimal nutritional level is not balanced (Tiwari et al., 2020).


 

Table 5

Decreasing order of the limiting nutrients due to deficiency in the soursop crop in the municipality of Compostela, Nayarit

 

Orchard

Concentration KBI

 

Concentration DOP

Macronutrients

Micronutrients

 

Macronutrients

Micronutrients

1

P<K<Ca<N<Mg

Mn<B<Zn<Fe<Cu

 

P<K<Ca<N<Mg

Mn<B<Zn<Fe<Cu

2

K<P<Ca<N<Mg

B<Mn<Zn<Fe<Cu

 

P<K<Ca<N<Mg

B<Mn<Zn<Fe<Cu

3

K<P<Ca<N<Mg

B<Mn<Cu<Zn<Fe

 

P<K<Ca<N<Mg

B<Mn<Cu<Zn<Fe

4

K<P<Ca<N<Mg

Mn<B<Fe<Zn<Cu

 

P<K<Ca<N<Mg

B<Mn<Fe<Zn<Cu

5

K<P<Ca<N<Mg

B<Mn<Fe<Zn<Cu

 

P<K<Ca<N<Mg

B<Mn<Fe<Zn<Cu

6

K<P<Ca<N<Mg

B<Mn<Fe<Zn<Cu

 

P<K<Ca<N<Mg

B<Mn<Fe<Zn<Cu

7

K=P<Ca<N<Mg

Mn<B<Fe<Zn<Cu

 

P<K<Ca<N<Mg

B<Mn<Fe<Zn<Cu

8

P<K<Ca<N<Mg

B<Mn<Fe<Zn<Cu

 

P<K<Ca<N<Mg

B<Mn<Fe<Zn<Cu

9

P<K<Ca<N<Mg

B<Mn<Zn<Fe<Cu

 

P<K<Ca<N<Mg

B<Mn<Zn<Fe<Cu

10

K<P<Ca<N<Mg

B<Mn<Cu<Zn<Fe

 

P<K<Ca<N<Mg

B<Mn<Cu<Zn<Fe

11

K<P<Ca<N<Mg

Mn<B<Fe<Zn<Cu

 

P<K<Ca<N<Mg

B<Mn<Fe<Zn<Cu

12

K<P<Ca<N<Mg

Mn<B<Zn<Fe<Cu

 

P<K<Ca<N<Mg

B<Mn<Zn<Fe<Cu

 


Finally, for decision-making on the nutritional management of the soursop crop, the use of tools that evaluate the nutritional balance is very important, especially for the diagnosis of deficiencies or excesses, which would indicate the need for adjustments in nutrient doses.

 

4. Conclusions

 

The foliar concentration of the nutrients N, P, K, Ca, Mg, Mn and B was lower than the reference standard in 100% of the soursop orchards in the state. Cu was excessive in 91% of the orchards, Zn in 98% of the orchards and Fe in 25% of the orchards. The KBI and DOP diagnoses coincided with 90 % in that the nutrients N, P, K, Ca, B and Mn are the most limiting due to deficiency and excessive Cu in 33% of the orchards, Fe and Zn in 8% of the orchards.

The order of the limiting nutrients in the orchards (P<K<Ca<N<Mg<Mn<B<Zn<Fe<Cu) indicate that nutritional management of the soursop crop should be implemented in the studied orchards.

 

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